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Professor Jennifer Brown

Contact

Department: Mathematics and Statistics

Email: jennifer.brown@canterbury.ac.nz

Direct Dial: +64 3 3695892

Office: Jack Erskine 622

Language: English

About
Research / Creative works
Supervision
Networks
Projects

Fields of Research

  • Animal population assessment
  • Ecological statistics
  • Environmental monitoring
  • Experimental design
  • Sampling theory
  • Earthquake research
  • Water
  • Health

Researcher Summary

My primary research interest is in environmental statistics and I have expertise in survey design and environmental monitoring. Research in environmental statistics is collaborative by its very nature, and I work with both statisticians and biologists. As an applied statistician I am involved in projects in a variety of application areas and as such publish in a wide range of journals.

I have an international reputation in survey design and environmental monitoring and am often asked by overseas agencies for advice and assistance in designing environmental monitoring programmes, specifically designs for animal and plant monitoring. I have provided advice and support in France, Italy, Spain, USA and Australia, as well as in New Zealand. I have hosted international workshops on survey design and environmental monitoring.

My research interests are broad and go beyond environmental statistics. I work in other application areas, most recently, human health and wellbeing. I also work in theoretical statistics, with publications in topics ranging from theoretical sampling to regression trees.

I am committed to developing leadership in the mathematical sciences, including statistics and data science. I provide advice and support for emerging leaders.

Subject Area: Disciplines

  • Biology: Ecology, Evolution and Behaviour: Biodiversity/Conservation; Ecology; Terrestrial Ecology; Biosecurity/Biosafety
  • Environmental Studies: Environmental Science; Environmental Studies
  • Health and Health Sciences: Biostatistics
  • Mathematics: Biomathematics
  • Statistics: Applied Statistics; Statistics

Resources

  • Staff webpage

Prizes and Awards

Displaying all items.
    Distinction
  • Senior Fellow of the Higher Education Academy (UK) ( 2018 - present )
  • NZSA Campbell Award ( 2017 - present )
  • New Zealand Statistical Association Lifetime Member ( 2014 - present )
  • International Statistical Institute ( 2012 - present )

Research/Scholarly/Creative Works

Journal Articles
  • Haq A., Bibi N., Khoo MBC. and Brown J. (2022) Monitoring the process coefficient of variation without subgrouping. Journal of Statistical Computation and Simulation 92(9): 1805-18022. http://dx.doi.org/10.1080/00949655.2021.2007918.
  • Ozturk O., Kravchuk O. and Brown J. (2022) Two-stage cluster samples with judgment post-stratification. Canadian Journal of Statistics 50(3): 888-910. http://dx.doi.org/10.1002/cjs.11644.
  • Robertson B., Ozturk O., Kravchuk O. and Brown J. (2022) Spatially Balanced Sampling with Local Ranking. Journal of Agricultural, Biological, and Environmental Statistics http://dx.doi.org/10.1007/s13253-022-00501-6.
  • Robertson BL., Ozturk O., Kravchuk O. and Brown JA. (2022) Correction to: Spatially Balanced Sampling with Local Ranking (Journal of Agricultural, Biological and Environmental Statistics, (2022), 27, 4, (622-639), 10.1007/s13253-022-00501-6). Journal of Agricultural, Biological, and Environmental Statistics 27(4): 640. http://dx.doi.org/10.1007/s13253-022-00506-1.
  • Haq A., Bibi M. and Brown J. (2021) Monitoring multivariate simple linear profiles using individual observations. Journal of Statistical Computation and Simulation 91(17): 3573-3592. http://dx.doi.org/10.1080/00949655.2021.1943665.
  • Haq A., Khoo M. and Brown J. (2021) Memory-type t charts with multiple auxiliary information for the process mean. Quality and Reliability Engineering International http://dx.doi.org/10.1002/qre.2946.
  • Robertson BL., Reale M., Price CJ. and Brown JA. (2021) Quasi-random ranked set sampling. Statistics and Probability Letters 171 http://dx.doi.org/10.1016/j.spl.2020.109029.
  • Panahbehagh B. and Brown J. (2020) Alternative approach to finite population estimation with many zero values.. Journal of the Korean Statistical Society http://dx.doi.org/10.1007/s42952-019-00041-9.
  • Wickramarachchi DC., Robertson BL., Reale M., Price CJ. and Brown JA. (2019) A reflected feature space for CART. Australian and New Zealand Journal of Statistics 61(3): 380-391. http://dx.doi.org/10.1111/anzs.12275.
  • Osinubi S., McGraw K., Ottosson U., Brown J., Briskie J. and Chapman H. (2018) Carotenoid-based plumage pigmentation and concentration as a function of sex and habitat type in the Yellow-breasted Boubou Laniarius atroflavus. Ostrich: Journal of African Ornithology 89(3): 259-264.
  • Robertson BL., McDonald T., Price C. and Brown J. (2018) Halton iterative partitioning: spatially balanced sampling via partitioning. Environmental and Ecological Statistics 25(3): 305-323. http://dx.doi.org/10.1007/s10651-018-0406-6.
  • Abi N., Moradi M., Salehi M., Brown J., Al-Khayat JA. and Moltchanova E. (2017) Application of Balanced Acceptance Sampling to an Intertidal Survey. Journal of Landscape Ecology(Czech Republic) 10(1): 96-107. http://dx.doi.org/10.1515/jlecol-2017-0012.
  • Carah N., Meurk C., Males M. and Brown JA. (2017) Emerging social media “platform” approaches to alcohol marketing: a comparative analysis of the activity of the top 20 Australian alcohol brands on Facebook (2012-2014). Critical Public Health http://dx.doi.org/10.1080/09581596.2017.1282154.
  • Panahbehagh B. and Brown J. (2017) Gap-based inverse sampling. Communications in Statistics - Theory and Methods 46(19): 9651-9661. http://dx.doi.org/10.1080/03610926.2016.1217022.
  • Richoux N., Kermorvant C., Caill-Milly N., D'Amico F., Bru N., Sanchez F., Lissardy M. and Brown J. (2017) Optimization of a survey using spatially balanced sampling: A single-year application of clam monitoring in the Arcachon Bay (SW France). Aquatic Living Resources 30 http://dx.doi.org/10.1051/alr/2017036.
  • Robertson BL., McDonald T., Price CJ. and Brown JA. (2017) A modification of balanced acceptance sampling. Statistics & Probability Letters : 107-112. http://dx.doi.org/10.1016/j.spl.2017.05.004.
  • Haq A., Brown J. and Moltchanova E. (2016) Hybrid ranked set sampling scheme. Journal of Statistical Computation and Simulation 86(1): 1-28. http://dx.doi.org/10.1080/00949655.2014.991930.
  • Haq A., Brown J. and Moltchanova E. (2016) Improved best linear unbiased estimators for the simple linear regression model using double ranked set sampling schemes. Communications in Statistics - Theory and Methods 45(12): 3541-3561. http://dx.doi.org/10.1080/03610926.2014.904350.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2016) Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling. Communications in Statistics - Theory and Methods 45(1): 25-48. http://dx.doi.org/10.1080/03610926.2013.818696.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2016) Paired Double Ranked Set Sampling. Communications in Statistics - Theory and Methods (early access online) http://dx.doi.org/10.1080/03610926.2014.892135.
  • Rea W., Price C., Oxley L., Reale M. and Brown J. (2016) A new procedure to test for fractional integration. Open Journal of Statistics 6(4): 651-666. http://dx.doi.org/10.4236/ojs.2016.64055.
  • Schluter PJ., Ahuriri-Driscoll A., Anderson TJ., Beere P., Brown J., Dalrymple-Alford J., David T., Davidson A., Gillon DA. and Hirdes J. (2016) Comprehensive clinical assessment of home-based older persons within New Zealand: an epidemiological profile of a national cross-section. Australian and New Zealand Journal of Public Health 40(4): 349-355. http://dx.doi.org/10.1111/1753-6405.12525.
  • Wickramarachchia DC., Robertson BL., Reale M., Price CJ. and Brown J. (2016) HHCART: An oblique decision tree. Computational Statistics & Data Analysis 96: 12-23. http://dx.doi.org/10.1016/j.csda.2015.11.006.
  • Haq A., Brown J. and Moltchanova E. (2015) A New Exponentially Weighted Moving Average Control Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 31(8): 1337-1357. http://dx.doi.org/10.1002/qre.1666.
  • Haq A., Brown J. and Moltchanova E. (2015) A New Exponentially Weighted Moving Average Control Chart for Monitoring the Process Mean. Quality and Reliability Engineering International 31(8): 1623-1640. http://dx.doi.org/10.1002/qre.1696.
  • Haq A., Brown J. and Moltchanova E. (2015) A New Maximum Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean and Dispersion. Quality and Reliability Engineering International 31(8): 1587-1610. http://dx.doi.org/10.1002/qre.1694.
  • Haq A., Brown J. and Moltchanova E. (2015) A New Synthetic Exponentially Weighted Moving Average Control Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 32(1): 241-256. http://dx.doi.org/10.1002/qre.1745.
  • Haq A., Brown J. and Moltchanova E. (2015) An Improved Maximum Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean and Variability. Quality and Reliability Engineering International 31(2): 265-290. http://dx.doi.org/10.1002/qre.1586.
  • Haq A., Brown J. and Moltchanova E. (2015) New Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Process Dispersion. Quality and Reliability Engineering International 31(5): 877-901. http://dx.doi.org/10.1002/qre.1646.
  • Haq A., Brown J. and Moltchanova E. (2015) New Synthetic Control Charts for Monitoring Process Mean and Process Dispersion. Quality and Reliability Engineering International 31(8): 1305-1325. http://dx.doi.org/10.1002/qre.1712.
  • Haq A., Brown J. and Moltchanova E. (2015) New Synthetic EWMA and Synthetic CUSUM Control Charts for Monitoring the Process Mean. Quality and Reliability Engineering International 32(1): 269-290. http://dx.doi.org/10.1002/qre.1747.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2015) Effect of Measurement Error on Exponentially Weighted Moving Average Control Charts under Ranked Set Sampling Schemes. Journal of Statistical Computation and Simulation 85(6): 1224-1246.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2015) Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion. Quality and Reliability Engineering International 31(2): 217-237. http://dx.doi.org/10.1002/qre.1573.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2015) Varied L Ranked Set Sampling Scheme. Journal of Statistical Theory and Practice 9(4): 741-767. http://dx.doi.org/10.1080/15598608.2015.1008606.
  • Salehi M., Moradi M., Al Khayat JA., Brown JA. and Yousif AEM. (2015) Inverse Adaptive Cluster Sampling with Unequal Selection Probabilities: Case Studies on Crab Holes and Arsenic Pollution. Australian & New Zealand Journal of Statistics 57(2): 189-201. http://dx.doi.org/10.1111/anzs.12118.
  • Haq A., Brown J. and Moltchanova E. (2014) A New Cumulative Sum Quality Control Scheme for Monitoring the Process Mean. Quality and Reliability Engineering International 30(8): 1165-1177. http://dx.doi.org/10.1002/qre.1539.
  • Haq A., Brown J. and Moltchanova E. (2014) New Exponentially Weighted Moving Average Control Charts for Monitoring Process Dispersion. Quality and Reliability Engineering International 30(8): 1311-1332. http://dx.doi.org/10.1002/qre.1553.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2014) Mixed Ranked Set Sampling Design. Journal of Applied Statistics 41(10): 2141-2156.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2014) Ordered Double Ranked Set Samples and Applications to Inference. American Journal of Mathematical and Management Sciences 33(4): 239-260. http://dx.doi.org/10.1080/01966324.2014.929988.
  • Haq A., Brown JA. and Moltchanova E. (2014) Improved Fast Initial Response Features for Exponentially Weighted Moving Average and Cumulative Sum Control Charts. Quality and Reliability Engineering International 30(5): 697-710. http://dx.doi.org/10.1002/qre.1521.
  • Moradi M., Brown JA. and Guo W. (2014) Adaptive cluster sampling in two-stage sampling. Australian & New Zealand Journal of Statistics 56(4): 347-357. http://dx.doi.org/10.1111/anzs.12094.
  • Osinubi ST., Vugeh Y., Briskie JV., Ottosson U., Brown JA. and Chapman HM. (2014) Association with riparian fragments by Yellow-breasted Boubou Laniarius atroflavus indicates need for wider-scale forest matrix conservation. Malimbus 36(1): 47-57.
  • Barbosa AM., Real R., Roman Munoz A. and Brown JA. (2013) New measures for assessing model equilibrium and prediction mismatch in species distribution models. Diversity and Distributions 19(10): 1333-1338. http://dx.doi.org/10.1111/ddi.12100.
  • Brown JA., Salehi M., Moradi M., Panahbehagh B. and Smith DR. (2013) Adaptive survey designs for sampling rare and clustered populations. Mathematics and Computers in Simulation 93: 108-116. http://dx.doi.org/10.1016/j.matcom.2012.09.008.
  • Haq A., Brown J., Moltchanova E. and Al-Omari AI. (2013) Partial Ranked Set Sampling Design. Environmetrics 24(3): 201-207. http://dx.doi.org/10.1002/env.2203.
  • Lemke D., Schweitzer CJ., Tadesse W., Wang Y. and Brown JA. (2013) Geospatial Assessment of Invasive Plants on Reclaimed Mines in Alabama. Invasive Plant Science and Management 6(3): 401-410. http://dx.doi.org/10.1614/IPSM-D-12-00045.1.
  • Lemke D., Schweitzer CJ., Tazisong IA., Wang Y. and Brown JA. (2013) Invasion of a mined landscape: What habitat characteristics are influencing the occurrence of invasive plants. International Journal of Mining, Reclamation and Environment 27(4): 275-293. http://dx.doi.org/10.1080/17480930.2012.699215.
  • Moradi M. and Brown J. (2013) General Fuzzy Inverse Sampling. International Journal of Agricultural and Statistical Sciences 9(2): 539-550.
  • Moradi M. and Brown JA. (2013) An approximation method to calculate complicated expectations. Journal of Statistics Applications & Probability 2(2): 165-170. http://dx.doi.org/10.12785/jsap/020209.
  • Parvardeh A., Panahbehagh B., Salehi M., Brown JA. and Smith D. (2013) Asymptotic properties of the sample mean in adaptive sequential sampling with multiple selection criteria. Bulletin of the Iranian Mathematical Society 39(3): 529-557.
  • Rea W., Oxley L., Reale M. and Brown J. (2013) Not all estimators are born equal: The empirical properties of some estimators of long memory. Mathematics and Computers in Simulation 93: 29-42. http://dx.doi.org/10.1016/j.matcom.2012.08.005.
  • Robertson BL., Brown JA., McDonald T. and Jaksons P. (2013) BAS: balanced acceptance sampling of natural resources. Biometrics 63(3): 776-784. http://dx.doi.org/10.1111/biom.12059.
  • David I. and Brown JA. (2012) Beyond statistical methods: Teaching critical thinking to first-year university students. International Journal of Mathematical Education in Science and Technology 43(8): 1057-1065. http://dx.doi.org/10.1080/0020739X.2012.678901.
  • Lemke D. and Brown JA. (2012) Habitat modeling of alien plant species at varying levels of occupancy. Forests 3(3): 799-817. http://dx.doi.org/10.3390/f3030799.
  • Lindsey NP., Brown JA., Kightlinger L., Rosenberg L. and Fischer M. (2012) State health department perceived utility of and satisfaction with arboNET, the U.S. national arboviral surveillance system. Public Health Reports 127(4): 383-390. http://dx.doi.org/10.1177/003335491212700406.
  • Moradi M., Brown JA. and Hodge M. (2012) Minimal Sufficiency in Rare Populations. Journal of Mathematics and System Science 2(5): 281-285.
  • Sargisson RJ., McLean IG., Brown J. and Bach H. (2012) Environmental determinants of landmine detection by dogs: Findings from a large-scale study in Afghanistan. The Journal of ERW and Mine Action 16(2): 74-91.
  • Williams-Tripp M., D'Amico FJN., Pagé C., Bertrand A., Némoz M. and Brown JA. (2012) Modeling Rare Species Distribution at the Edge: The Case for the Vulnerable Endemic Pyrenean Desman in France. The Scientific World Journal 2012(612965): 6. http://dx.doi.org/10.1100/2012/612965.
  • Lemke D., Hulme PE., Brown JA. and Tadesse W. (2011) Distribution modelling of Japanese honeysuckle (Lonicera japonica) invasion in the Cumberland Plateau and Mountain Region, USA. Forest Ecology and Management 262(2): 139-149. http://dx.doi.org/10.1016/j.foreco.2011.03.014.
  • Moradi M., Salehi M., Brown JA. and Karimi N. (2011) Regression estimator under inverse sampling to estimate arsenic contamination. Environmetrics 22(7): 894-900. http://dx.doi.org/10.1002/env.1116.
  • Rea W., Reale M. and Brown J. (2011) Long Memory in Temperature Reconstructions. Climatic Change 107(3-4): 247-265. http://dx.doi.org/10.1007/s10584-011-0068-y.
  • Rea W., Reale M., Brown J. and Oxley L. (2011) Long Memory or Shifting Means in Geophysical Time Series? Mathematics and Computers in Simulation 81(7): 1441-1453. http://dx.doi.org/10.1016/j.matcom.2010.06.007.
  • Rea WS., Reale M., Cappelli C. and Brown JA. (2010) Identification of Changes in Mean with Regression Trees: An Application to Market Research. Econometric Reviews 29(5-6): 754-777. http://dx.doi.org/10.1080/07474938.2010.482001.
  • Salehi M. and Brown JA. (2010) Complete allocation sampling: an efficient and easily implemented adaptive sampling design. Population Ecology 52(3): 451-456. http://dx.doi.org/10.1007/s10144-010-0196-7.
  • Salehi M., Moradi M., Brown JA. and Smith D. (2010) Efficient estimators for adaptive stratified sequential sampling. Journal of Statistical Computation and Simulation 80(10): 1163-1179. http://dx.doi.org/10.1080/00949650903005664.
  • Hart SK. and Brown JA. (2009) Diaphragmatic hernia in horses: 44 cases (1986-2006). Journal of Veterinary Emergency and Critical Care 19(4): 357-362. http://dx.doi.org/10.1111/j.1476-4431.2009.00439.x.
  • Rea W., Oxley L., Reale M. and Brown J. (2009) Estimators for Long Range Dependence: An Empirical Study. Electronic Journal of Statistics.
  • Brown JA., Salehi MM., Moradi M., Bell G. and Smith DR. (2008) An adaptive two-stage sequential design for sampling rare and clustered populations. Population Ecology 50(3): 239-245. http://dx.doi.org/10.1007/s10144-008-0089-1.
  • Brown JA., Smith ANH. and Robinson TJ. (2008) The response of rare herbaceous plants to the removal of weeds in an unproductive environment. Community Ecology 9(1): 53-58. http://dx.doi.org/10.1556/ComEc.9.2008.1.7.
  • Chappell MH., Brown JA., Dalrymple-Alford JC., Uluğ AM. and Watts R. (2008) Multivariate analysis of diffusion tensor imaging data improves the detection of microstructural damage in young professional boxers. Magnetic Resonance Imaging 26(10): 1398-1405. http://dx.doi.org/10.1016/j.mri.2008.04.004.
  • Goldberg NA., Heine JN. and Brown JA. (2007) The application of adaptive cluster sampling for rare subtidal macroalgae. Marine Biology 151(4): 1343-1348. http://dx.doi.org/10.1007/s00227-006-0571-2.
  • Zhao W., Mason EG. and Brown J. (2006) Modelling height-diameter relationships of Pinus radiata plantations in Canterbury, New Zealand. New Zealand Journal of Forestry 51(1): 23-27.
  • Brown JA., Harris S. and Timmins SM. (2004) Estimating the maximum interval between repeat surveys. Austral Ecology 29(6): 631-636. http://dx.doi.org/10.1111/j.1442-9993.2004.01402.x.
  • Brown JA., McAuliffe RJ. and Hickling GJ. (2004) A new trap-catch index of patchiness in animal distribution. Wildlife Research 31(4): 433-436.
  • Brown JA. (2003) Designing an efficient adaptive cluster sample. Environmental and Ecological Statistics 10(1): 95-105.
  • Thomas MD., Brown JA., Maddigan FW. and Sessions LA. (2003) Comparison of trap-catch and bait interference methods for estimating possum densities. New Zealand Plant Protection 56(2003): 81-85.
  • Thomas MD., Maddigan FW., Brown JA. and Trotter M. (2003) Optimising possum control using encapsulated cyanide (Feratox®). New Zealand Plant Protection 56(2003): 77-80.
  • Brown JA. and Boyce MS. (2001) A survey design for monitoring butterflies. Statistica 61: 291-299.
  • Chapman H. and Brown J. (2001) Thawing' of 'frozen' variation in an adventive, facultatively apomictic, clonal weed. Plant Species Biology 16(2): 107-118. http://dx.doi.org/10.1046/j.1442-1984.2001.00056.x.
  • Faddy M., Brown J. and Commins P. (2001) Likelihood-Based Modeling and Analysis of Possum Trapping Data. Journal of Agricultural, Biological & Environmental Statistics 6(2): 235-242.
  • Harris S., Brown J. and Timmins S. (2001) Weed surveillance - how often to search? Science for Conservation (175): 5-23.
  • Harris S., Brown J. and Timmins S. (2001) Weed surveillance - how often to search? Science for Conservation 175: 27pp.
  • Nichols C., Stone G., Hutt A., Brown J. and Yoshinaga A. (2001) Observations of interactions between Hector's dolphins (Cephalorhynchus hectori), boats and people at Akaroa Harbour, New Zealand. Science for Conservation (178): 5-27.
  • Nichols C., Stone G., Hutt A., Brown J. and Yoshinga A. (2001) Observations of interactions between Hector's dolphins (Cephalorhynchus hectori), boats and people at Akaroa Harbour, New Zealand. Science for Conservation 178: 48pp.
  • Thomas M. and Brown JA. (2001) Calibration of possum density estimates from raised leg-hold traps. New Zealand Plant Protection 54(2001): 71-75.
  • Brown J. and Hickling G. (2000) The problems of analysis of pilot-reported bird-strikes as an index for actual bird-strikes at airports. New Zealand Journal of Zoology 27: 45-47.
  • Thomas MD. and Brown JA. (2000) Possum monitoring using raised leg-hold traps. Science for Conservation 164: 17pp.
  • Brown JA. (1999) A comparison of two adaptive sampling designs. Australian and New Zealand Journal of Statistics 41(4): 395-403. http://dx.doi.org/10.1111/1467-842X.00093.
  • Brown JA. (1999) A comparison of two stratified sampling designs: adaptive cluster sampling and two-phase sampling. Australian and New Zealand Journal of Statistics 41: 395-404.
  • Henderson RJ., Brown JA. and Thomas MD. (1999) Use of ground-level or elevated bait stations for possum control. NZ Plant Protection 52: 130-135.
  • Thomas MD., Brown JA. and Henderson RJ. (1999) Feasibility of using wax-blocks to measure rat and possum abundance in native forest. NZ Plant Protection 52: 125-129.
  • Brown JA. and Boyce MS. (1998) Line transect sampling of Karner blue butterflies (Lycaedes melissa samuelis). Journal of Environmental and Ecological Statistics 5: 81-91.
  • Brown JA. and Manly BFJ. (1998) Restricted adaptive cluster sampling. Journal of Environmental and Ecological Statistics 5: 47-62.
  • Brown JA. and Miller CM. (1998) Monitoring stoat Mustela erminea control operations: power analysis and design. Science for Conservation 96: 21.
  • Stone G., Hutt A., Brown JA., Yoshinga A. and Burleigh R. (1998) Respiration and movement of Hector's dolphins from suction-cup VHF radio tag telemetry data. Marine Tech. Soc. J 32: 89-93.
  • Stone G., Brown JA. and Yoshinaga A. (1995) Diurnal movement patterns of Hector's dolphin observed from cliff-tops. Marine Mammal Science 11: 395-402.
Chapters
  • Brown JA. (2015) Statistics in Environmental Management. In Sarkar D; Datta R; Mukherjee A; Hannigan R (Ed.), An Integrated Approach to Environmental Management: 383-396. Hoboken: Wiley.
  • Brown JA. (2014) Adaptive Sampling Methods. In Manly B; Alberto J (Ed.), Introduction to Ecological Sampling: 33-46. Boca Raton: Taylor and Francis.
  • Robinson TJ. and Brown JA. (2014) Models for Trend Analysis. In Manly B; Alberto J (Ed.), Introduction to Ecological Sampling: 167-186. Boca Raton: Taylor and Francis.
  • Brown JA. (2011) Adaptive Sampling of Ecological Populations. In Rong Y (Ed.), Practical Environmental Statistics and Data Analysis: 81-96. St Albans: ILM Publications.
  • Brown JA. (2011) Statistics Role in Environmental Monitoring. In Lovric M (Ed.), International Encyclopedia of Statistical Science: 446-447. Amsterdam: Springer. http://dx.doi.org/10.1007/978-3-642-04898-2_564.
  • Brown JA. (2007) Adaptive Sampling Design. In Salkind NJ (Ed.), Encyclopedia of Measurement and Statistics: 12. Thousand Oaks: Sage.
  • Brown JA. (2007) Probability Sampling. In Salkind NJ (Ed.), Encyclopedia of Measurement and Statistics: 787-788. Thousand Oaks: Sage.
  • Brown JA. (2007) Sample. In Salkind NJ (Ed.), Encyclopedia of Measurement and Statistics: 855-856. Thousand Oaks: Sage.
  • Brown JA. (2007) Stratified Random Sampling. In Salkind NJ (Ed.), Encyclopedia of Measurement and Statistics: 967-971. Thousand Oaks: Sage.
  • MacKenzie DI., Royle JA., Brown JA. and Nichols JD. (2004) Occupancy estimation and modeling for rare and elusive populations. In Thompson WL (Ed.), Sampling Rare and Elusive Species: 147-172. Washington D.C.: Island Press.
  • Smith DR., Brown JA. and Lo NCH. (2004) Application of Adaptive Cluster Sampling to Biological Populations. In Thompson WL (Ed.), Sampling Rare or Elusive Species: Concepts, Designs, and Techniques for Estimating Population Parameters: 75-122. Washington: Island Press.
Conference Contributions - Published
  • Robertson B., Brown J. and McDonald T. (2019) The Use of Ranked Set Sampling with Balanced Acceptance Sampling. In Proceedings of the 34th International Workshop on Statistical Modelling (IWSM).
  • Robertson B., Brown J., McDonald T. and Price C. (2019) Spatially Balanced Sampling using the Halton Sequence. In 2019 JSM Proceedings: 647-652.
  • Brown JA. (2018) Leading change: developing a new applied data science programme. In Sorto MA; White A; Guyot L (Eds). Proceedings - ICOTS10: 5.
  • Brown J., Robertson B. and McDonald T. (2017) Spatially Balanced Sampling. In Proceedings of the 32nd International Workshop on Statistical Modelling (IWSM), Johann Bernoulli Institute, Rijksuniversiteit Groningen, Netherlands, 3, 7 July 2017..
  • Jamieson H., Chen M., Abey R., Scarse R. and Brown J. (2017) Medication Management as a Predictor for Aged Residential Care Admission in Community Dwelling Older Adults without Cognitive Impairment.. In.
  • Brown JA., Robertson BL. and McDonald T. (2015) Spatially Balanced Sampling: application to environmental surveys. In Procedia Environmental Sciences 27: 6-9.
  • Brown JA., Robertson BL. and McDonald T. (2015) Spatially Balanced Sampling: application to environmental surveys. In Procedia Environmental Sciences 27: 6-9. http://dx.doi.org/10.1016/j.proenv.2015.07.108.
  • Brown JA., David I., Moltchanova E., Seddon H. and Harlow J. (2014) Improving statistical literacy at University. In.
  • David I., Seddon H., Harlow J. and Brown JA. (2014) Teaching statistics in a crisis zone. In.
  • Robertson BL., Price CJ., Reale M. and Brown JA. (2013) Directed Voronoi Search: a method for bound constrained global optimization. In Proceedings of ASOR 2013: 46-52.
  • Lemke D., Coulston JW., Hulme P., Paterson C. and Brown JA. (2012) Invasive potential of invasive plants in the forest of the southern region, United States. In Moving from Status to Trends: Forest Inventory and Analysis Symposium 2012 (FIA): 278-282.
  • Brown JA., Salehi MM., Moradi M., Panahbehagh B. and Smith DR. (2011) Adaptive and unequal probability survey designs for environmental management. In : 2071-2077.
  • David I. and Brown JA. (2011) Out of the Ashes - A Case Study, Christchurch New Zealand Post earthquake 22/02/2011. A paradigm shift, students and staff have a radically altered environment. How to respond? In.
  • Moradi M., Brown J. and Karimi N. (2011) An effcient and easy to carry out sampling design in environmental studies. In MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty: 2085-2092.
  • Moradi M., Brown JA. and Karimi N. (2011) An efficient and easy to carry out sampling design in environmental studies. In : 2085-2092.
  • Panahbehagh B., Smith DR., Salehi M., Hornbach DJ. and Brown JA. (2011) Multi-species attributes as the condition for adaptive sampling of rare species using two-stage sequential sampling with an auxiliary variable. In : 2093-2099.
  • Brown JA. and David I. (2010) Teaching critical thinking to first year University students. In Data and context in statistics education: Towards an evidence-based society: 5pp.
  • David I. and Brown JA. (2010) Implementing the Change: Teaching Statistical Thinking not just Methods. In Data and context in statistics education: Towards an evidence-based society.
  • Oxley L., Rea W., Price C., Reale M. and Brown J. (2010) A new procedure to test for fractional integration. In.
  • Brown J. and Robinson T. (2009) Assessing Uncertainty in Environmental Sampling. In Proceedings of the Third Annual ASEARC Research Conference: 4pp.
  • Dawber J., Brown J. and Horn B. (2009) Performing a Quantitative Microbial Risk Analysis Using Second Order Monte Carlo Simulation. In Proceedings of the Third Annual ASEARC Research Conference: 4pp.
  • Hodge M., Brown JA. and Reale M. (2009) Improving the Calculation of Fix-Rate Bias in Automated Telemetry Systems. In.
  • Lemke D., Tadesse W., Coleman T. and Brown J. (2009) Probability Mapping for Species Conservation on Alabama's Gulf Coast. In.
  • Rea W., Reale M. and Brown J. (2008) Estimators for Long Range Dependence: An Empirical Study. In.
  • Brown JA., Rea WS. and Reale M. (2007) Modeling long memory time series: the Shihua Cave speleotherms. In Proceedings of the 22nd International Workshop on Statistical Modelling: 130-135.
  • Fukuda K. and Brown JA. (2007) Classification Rule Extraction by Ant-Miner Algorithm for Weed Risk Assessment. In Modelling and Simulation Society of Australia and New Zealand: 1381-1387.
  • Meurk CS., Brown JA. and Reale M. (2007) Graphical Modeling of Ecological Time Series Data. In Modelling and Simulation Society of Australia and New Zealand: 1393-1398.
  • Rea W., Reale M. and Brown JA. (2007) Long Memory or Structural Breaks in Temperature and Proxy Time Series. In Modelling and Simulation Society of Australia and New Zealand: 3010-3016.
  • Brown JA. and Borchers D. (2006) Teaching statistics to environmental scientists. In ICOTS 7.
  • Brown JA., Penny R. and Reale M. (2006) Making statistics real: working with Statistics New Zealand. In.
  • Rea W., Reale M., Capelli C. and Brown JA. (2006) Identification of level shifts in stationary processes. In Proceedings of the 21st International Workshop on Statistical Modelling Conference 2006: 438-441.
  • Timmins S., Harris S. and Brown J. (2002) How often to search for new weeds. In Papers and proceedings of 13th Australian Weeds Conference: 189-191.
  • Brown JA. (2001) Forest sampling. In : 365-368.
  • Brown JA. (1994) The application of adaptive cluster sampling to ecological studies. In : 86-97.
Conference Contributions - Other
  • Robertson B., Brown J., McDonald T. and Price C. (2019) Spatially Balanced Sampling using the Halton Sequence. Denver, CO, USA: Joint Statistical Meeting, 28 Jul-2 Aug 2019.
  • Robertson B., McDonald T., Brown J. and Price C. (2019) Quasi-random spatially balanced sampling. Adelaide, Australia: Biometrics by the Botanic Gardens, International Biometric Society Australasian Region Conference, 3-6 Dec 2019.
  • Sonal S., Brown J., Lee M. and Schluter P. (2018) Deprivation, Hospital admissions and previous dental appointment records in Early Childhood: A comparative use of traditional statistical modelling with machine learning. Rotorua: Australasian Applied Statistics Conference,, 2-7 Dec 2018.
  • Latu LVL., Brown JA. and Henderson J. (2017) Family structure and academic achievements of high school students in Tonga. Auckland: Joint Meeting of 10th Asian Regional Section (ARS) of the International Association for Statistical Computing (IASC) and the NZ Statistical Association (NZSA), 10 Dec-14 Oct 2017.
  • Brown JA. and Panahbehagh B. (2016) Gap based inverse sampling. Canberra, Australia: Australian Statistical Conference, 5-9 Dec 2016.
  • Kermorvant C., Caill-Milly N., D'Amico F., Bru N., Sanchez F., Brown JA. and Lissardy ML. (2016) Clam monitoring: optimization of a recurring survey in the Arcachon Bay using spatially balanced sampling. Bilbao, France: XV International Symposium on Oceanography of the Bay of Biscay, 22-24 Jun 2016.
  • Brown JA., Robertson B., McDonald T. and Abi N. (2015) Trends in Environmental Sampling. Christchurch, New Zealand: NZ Ecological Society, 16-19 Nov 2015.
  • Caill-Milly N., D'Amico F., Bru N., Sanchez F., Brown J. and Lissardy M. (2015) Survey effort allocation using advanced design: clam population as case study. Aarhus, Denmark: Science for the Environment 2015, 1-2 Oct 2015.
  • Brown JA. and Abi N. (2014) Adaptive Sampling: New applications for environmental surveys. Port Lincoln, Australia: Australasian Applied Statistics Conference, 1-5 Dec 2014.
  • Barbosa AM., Brown JA., Jiménez-Valverde A., Acevedo P., Lobo JM. and Real R. (2013) The ABC of model evaluation: a visual method for a clearer assessment of model accuracy. Tartu, Estonia: 56th Symposium of the International Association for Vegetation Science (IAVS 2013), 26-30 Jun 2013.
  • Brown JA., Robertson B., Price CJ., Reale M., Jaksons P. and McDonald T. (2013) Spreading your effort: a balanced sample design for n-dimensions. Mandurah, Perth, Australia: The International Biometric Society, Australasian Region Conference, 1-5 Dec 2013.
  • Reale M., Robertson BL., Price CJ. and Brown JA. (2013) Directed Voronoi Search: A direct search method for bound constrained global optimization. Adelaide, Australia: 20th International Congress on Modelling and Simulation (MODSIM2013), 4-4 Dec 2013.
  • Osinubi ST., Briskie J., Ottosson U., Brown JA. and Chapman HM. (2012) Characterising calls of the yellow-breasted Boubou (Laniarus atroflavus) and potential habitat effects. Arusha, Tanzania: 13th Pan African Ornithological Conference, 14-21 Oct 2012.
  • Brown JA. (2011) Stirring the data soup: What spoon do I use? Auckland, New Zealand: Statistics Teachers’ Day, University of Auckland, 23-23 Nov 2011.
  • Brown JA. and David I. (2011) Beyond statistical methods: teaching critical thinking to first year university students. Rotorua, New Zealand: Volcanic Delta 2011, the Eighth Southern Hemisphere Conference on the Teaching and Learning of Undergraduate Mathematics and Statistics, 27 Nov-2 Dec 2011.
  • Brown JA., Hodge M. and Williams M. (2011) Adaptive and unequal probability survey designs for monitoring animal and plant distributions. Palm Cove, Australia: Australasian Applied Statistics Conference (GenStat & ASReml), 12-15 Jul 2011.
  • Brown JA., Salehi MM., Panahbehagh B. and Moradi M. (2011) Complete allocation sampling: An efficient and easily implemented adaptive sampling design. Auckland, New Zealand: New Zealand Statistical Association 2011 Conference, 28-31 Aug 2011.
  • Lemke D., Brown JA. and Wang Y. (2011) Application of adaptive sampling with a generalized random tessellation stratified design: A case study of invasive plants at reclaimed mines on the Southern Cumberland Plateau. Huntsville, AL, USA: Association of Southeastern Biologists 72nd Annual Meeting, 13-16 Apr 2011.
  • Lemke D., Hulme PE., Brown JA., Miller J. and Coulston J. (2011) Ensemble modeling of tallowtree in forest of the Southern USA. Huntsville, AL, USA: Association of Southeastern Biologists 72nd Annual Meeting, 13-16 Apr 2011.
  • Brown JA. (2010) Adaptive and unequal probability survey designs for monitoring animal and plant distributions. Palmerston North, New Zealand: Palmy Statisticians, 22-22 Oct 2010.
  • Brown JA. (2010) Going green: How statistics helps in how we manage New Zealand's environment. Victoria University of Wellington, New Zealand: Women in Statistics Conference, 20-20 Oct 2010.
  • Chapman HM., Goldson SL., Beck J. and Brown JA. (2010) Cercopithecus nictitans dispersed seed in a West African montane forest. Montpellier, France.
  • Lemke D., Brown JA., Hulme P. and Tadesse W. (2010) Invasion of non-native plant to the forest of the Cumberland Plateau and Mountain Region. Chattanooga, TN, USA: Disturbance and Change, Invasive Plants and Paths to Recovery, Joint Meeting of Southeast Exotic Pest Plant Council (SE-EPPC) and the Southeast Chapter of the Society for Ecological Restoration, International (SE-SERI), 11-13 May 2010.
  • Lemke D., Hulme P., Brown JA. and Tadesse W. (2010) Maximum Entropy modeling of invasive plants in the forests of Cumberland Plateau and Mountain Region. Lexington, KY, USA: 17th Central Hardwood Forest Conference, 5-7 Apr 2010.
  • Brown JA. and Robinson TJ. (2009) Reducing uncertainty about uncertainty. Wellington, New Zealand: The New Zealand Statistical Association Conference 2009 (NZSA2009), 2-3 Sep 2009.
  • Brown JA. and Williams M. (2009) Adaptive Survey Designs for Sampling Rare and Clustered Populations. Christchurch, New Zealand: Statistics New Zealand Annual Methodologist Workshop, 1-1 Mar 2009.
  • Brown JA., Rea WS. and Reale M. (2009) Improving an algorithm for break points detection based on regression trees. Limassol, Cyprus: 3rd International Conference on Computational and Financial Econometrics (CFE09), 29-31 Oct 2009.
  • David I. and Brown J. (2009) Engaging the University 100 level audience - How to teach statistical thinking to students from a mixed background. Wellington, New Zealand: The New Zealand Statistical Association Conference 2009 (NZSA2009), 2-3 Sep 2009.
  • Hodge M., Brown J. and Reale M. (2009) Calculation of fix-rate bias for automated telemetry systems. Wellington, New Zealand: The New Zealand Statistical Association Conference 2009 (NZSA2009), 2-3 Sep 2009.
  • Hodge M., Brown JA. and Reale M. (2009) Comparing models with deformation metrics. Limassol, Cyprus: 3rd International Conference on Computational and Financial Econometrics (CFE'09), 29-31 Oct 2009.
  • Lemke D., Hulme P., Brown J. and Tadesse W. (2009) Integrating GIS and Statistical Modelling in Assessing Invasive Plants. San Diego, CA, USA: 2009 ESRI International User Conference, 13-17 Jul 2009.
  • Lemke D., Hulme P., Brown J. and Tadesse W. (2009) Predicting the Occurrence of Invasive Plants in the Cumberland Plateau and Mountain Region: Integration of Forestry Inventory Data, Geospatial Information System and Statistical Modeling Tools. Athens, GA, USA: 7th Southern Forestry & Natural Resource Management GIS Conference, 7-9 Dec 2009.
  • Brown JA. and Williams M. (2008) Adaptive survey designs for monitoring animal and plant distributions. Wollongong, Australia: 2nd Annual ASEARC Research Conference, 2-3 Dec 2008.
  • Brown JA. and Williams M. (2008) Searching for weeds - how to search where the weeds are? Wellington, New Zealand: Symposium on Search and Detection in Disease and Wildlife Management, 10-11 Nov 2008.
  • Brown JA., McDonald L. and Robinson T. (2008) Estimating Uncertainty in Wildlife Population Estimates. St Andrews, UK: International Statistical Ecology Conference, 9-11 Jul 2008.
  • Brown JA., Salehi M., Moradi M., Bell G. and Smith D. (2008) A New Adaptive Sequential Design for Sampling Rare and Clustered Populations. Hamilton, New Zealand: 59th Annual Conference of the New Zealand Statistics Association, 1-2 Sep 2008.
  • Fukuda K., Brown JA., Williams P. and Kean J. (2008) The K-Maximum Subarray algorithm as an alternative clustering analysis for the spatial weed aggregation pattern. Hamilton, New Zealand: 59th Annual Conference of the New Zealand Statistics Association, 1-2 Sep 2008.
  • Hodge M. and Brown J. (2008) Using Arc to work with radio collar/telemetry data on deer & geckos. Rotorua, New Zealand: NZ ESRI User Group 13th Annual Conference, 21-23 Oct 2008.
  • Hodge M. and Brown JA. (2008) Adjusting Resource Selection Functions for Imperfect Detection. Hamilton, New Zealand: 59th Annual Conference of the New Zealand Statistics Association, 1-2 Sep 2008.
  • Lemke D., Hulme P., Brown J. and Tadesse W. (2008) Predicting the occurrence and spread of Japanese Honeysuckle in the Cumberland Plateau and Mountain Region: integration of geospatial information system and statistical modeling tools. Huntsville, AL, USA: Rocket City Geospatial Conference 2008, 18-20 Nov 2008.
  • Thomas MD., Brown JA. and Ross JG. (2008) An evaluation of Waxtags® as a monitoring technique for low-density possum (Trichosurus vulpecula) populations in New Zealand. Darwin, Australia: 14th Australasian Veterbrate Pest Conference, 10-13 Jun 2008.
  • Williams M. and Brown JA. (2008) Searching for an environmental weed. St Andrews, UK: International Statistical Ecology Conference, 9-11 Jul 2008.
  • Williams MN. and Brown JA. (2008) Searching for weeds - a GIS tool. Wellington, New Zealand: Symposium on Search and Detection in Disease and Wildlife Management, 10-11 Nov 2008.
  • Chappell MH., Anderson TJ., Brown JA., Dalrymple-Alford JC., van Stockum S. and Watts R. (2007) Using Diffusion Tensor Imaging Parameters as Markers of Cognitive decline with Parkinson's disease. Chicago, IL USA: 13th Annual Meeting of the Organization for Human Brain Mapping (HBM), 10-14 Jun 2007.
  • Chappell MH., Brown JA., Dalrymple-Alford JC., Ulug AM. and Watts R. (2007) Multivariate Linear Discriminant Analysis of DTI Data Improves the Detection of Microstructural Damage in Young Professional Boxers. Berlin, Germany: Joint Annual Meeting ISMRM-ESMRMB, 19-25 May 2007.
  • Fukuda K. and Brown JA. (2007) Investigation of the weed risk assessment model using data mining. Perth, Australia: 9th International Conference on the Ecology And Management Of Alien Plant Invasions, September 2007, Perth, 1 Sep 2007.
  • Williams MN. and Brown JA. (2007) Predicting where to find new weeds and rare plants using GIS. Perth, Australia: 9th International Conference on The Ecology and Management of Alien Plant Invasions (EMAPi9), 17-21 Sep 2007.
  • Williams MN. and Brown JA. (2007) Searching for weeds - how to look in places where the weeds are. Perth, Australia: 9th International Conference on the Ecology And Management Of Alien Plant Invasions, 1 Sep 2007.
  • Chappell M., Anderson T., Brown J., Dalrymple-Alford J., Heitger M., van Stockum S. and Watts R. (2006) Using MRI to identify microstructural changes in the brain. Christchurch, New Zealand: Health Research Society of Canterbury's Scientific Meeting, 1-1 Nov 2006.
  • Chappell M., Watts R., Brown J. and Dalrymple-Alford J. (2006) MRI Brain Imaging. University of Canterbury, Christchurch, New Zealand: UC Postgraduate Showcase, 18-18 Oct 2006.
  • Chappell MH., Brown JA., Uluğ AM., Zhang L. and Watts R. (2006) Using the conjunction of orthogonal frame-invariant metrics to increase the statistical power of diffusion tensor image analysis. Florence, Italy: 12th Annual Meeting of the Organization for Human Brain Mapping (HBM2006), 11-15 Jun 2006.
  • Rea B., Reale M. and Brown JA. (2006) Do long memory time series have amnesia? Dunedin, New Zealand: New Zealand Econometrics Study Group 16th Meeting, 4-5 Aug 2006.
  • Brown JA., Overton J. and Price R. (2005) Sampling biodiversity inventory and monitoring. Montreal, Canada: International Congress of Ecology, 1 Aug 2005.
  • Brown JA. (2004) A new index of spatial clustering for 1 dimension data. Wellington, New Zealand: New Zealand Statistical Association, 1 Jul 2004.
  • Brown JA. and Hickling G. (2004) A Method for Describing Patchiness in Animal Populations. Cairns, Australia: International Biometrics Society, 1 Jul 2004.
  • Brown JA. and Smith A. (2004) The response of rare herbaceous plants to the removal of unwanted competitors: is weeding a management option for Lance McCaskill Nature Reserve?. Dunedin, New Zealand: The Miss E.L. Hellaby Indigenous Grasslands Research Trust Eleventh Triennial Seminar, 1 Dec 2004.
  • Brown JA., Overton J. and Price R. (2004) Sampling methods for biodiversity inventory and monitoring. Invercargill, New Zealand: NZ Ecological Society, 1 Aug 2004.
  • Brown JA., Woollons R. and Manley B. (2004) How much carbon is there in trees?: Estimating uncertainty in carbon accounting. Chicago, IL USA: Computational and Environmetrics, 1 Oct 2004.
  • Brown JA. (2003) Surveying populations when there are too few to count. Christchurch, New Zealand: International Wildlife Congress, 1 Dec 2003.
  • Brown JA. (2002) Efficient designs for adaptive cluster sample. Hamilton, New Zealand: NZ Statistics Association, 1 Jan 2002.
  • Brown JA. (2002) Possum monitoring: the way forward. Wellington, New Zealand: National Possum Control Authority annual conference, 1 Jan 2002.
  • Brown JA., Timmins S. and Harris S. (2002) The cost of weed surveillance. Dunedin, New Zealand: Statistics in Ecology and Environmental Monitoring, 1 Jan 2002.
  • Brown JA. (2001) Possums - cute furry animals or deadly pests? Some real-life experiences from possum moniotoring in New Zealand. Gold Coast, Australia: Genstat, 1 Jan 2001.
  • Brown JA. (2001) Sampling low density animal populations. Christchurch, New Zealand: Australasian Biomtrics, 1 Jan 2001.
  • Brown JA. and Thomas MD. (2001) Calibration of indices of possum trap-catch from raised and ground set traps. Palmerson North, New Zealand: NZ Plant Protection Society, 1 Jan 2001.
  • Brown JA. (2000) Better survey designs for possum monitoring. Queenstown, New Zealand: Australasian Wildlife Management Society, 1 Jan 2000.
  • Brown JA. (2000) Optimal survey designs for possum monitoring. Wellington, New Zealand: National Possum Control Authority Annual Conference, 1 Jan 2000.
  • Brown JA. (1999) Adaptive cluster sampling using a restricted selection process. Dallas, TX, USA: Joint conference of the American and Canadian Statistical Institutes, 1 Jan 1999.
  • Brown JA. (1999) How to survey butterflies. Rome, Italy: Italian Biometrics Society, 1 Jan 1999.
  • Brown JA. (1999) Line transect sampling of butterflies. Christchurch, New Zealand: NZ Entomology Society, 1 Jan 1999.
  • Brown JA. and Sinclair N. (1999) Unbiased confidence intervals for skewed populations. Dunedin, New Zealand: Statistics in Ecology and Environmental Monitoring, 1 Jan 1999.
  • Brown JA. (1998) An application of percolation theory to adaptive cluster sampling. Florence, Italy: International Ecology Congress, 1 Jan 1998.
  • Brown JA. (1998) Monitoring low density populations. Gatton, Australia: Australasian Wildlife Management Society, 1 Jan 1998.
  • Brown JA. (1997) Line transect sampling for butterflies. Wellington, New Zealand: NZ Statistics Association, 1 Jan 1997.
  • Brown JA. (1997) Monitoring stoat populations. Adelaide, Australia: Australasian Biomterics, 1 Jan 1997.
  • Brown JA. (1995) Adaptive cluster sampling. Manchester, UK: International Congress of Ecology, 1 Aug 1995.
  • Brown JA. (1994) Restricted adaptive cluster sampling. Dunedin, New Zealand: Statistics in Ecology and Environmental Monitoring, 1 Dec 1994.
Reports
  • Martin G., Anthony G., Brown J., Dalrymple M., Ell F., Greenwood S., Higgins J., Hunter J., Murray R. and Roskruge M. (2021) Pāngarau Mathematics and Tauanga Statistics in Aotearoa New Zealand. In Pāngarau Mathematics and Tauanga Statistics in Aotearoa New Zealand - Advice on refreshing the English-medium Mathematics and Statistics learning area of the New Zealand Curriculum, Royal Society Te Apārangi. Commissioned by Ministry of Education. 56 pp.
  • Brown JA. and Robinson TJ. (2009) Addressing uncertainty in braided river bird counts.Commissioned by Department of Conservation Research & Development Series 311. 23pp.
  • Marburg A., Brown JA. and Thomas MD. (2009) Low-Cost Airborne Thermal Sensors for Animal Monitoring, University of Canterbury Research Report UCDMS 2009/2.Commissioned by Brian Mason Scientific and Technical Trust. 15pp.
  • Basse B., Bourdôt G., Brown JA. and Lamoureaux S. (2008) New Zealand National Weeds Distribution Database: a feasibility study.Commissioned by Environment Southland, Envirolink medium advice 499-ESRC212.
  • Brown JA. (2007) Statistics, chapter for Toolbox for Monitoring.Commissioned by Department of Conservation. 7pp.
  • McDonald L. and Brown JA. (2007) Assessing penguin abundance using historical count data.Commissioned by Australian Antarctic Division. 16pp.
  • Brown JA., Woollons R. and Manley B. (2005) Estimating uncertainty in the Kyoto compliant carbon accounting system for New Zealand's planted forests.Commissioned by MAF.
  • McLean I., Sargisson R., Brown J., Phelan J. and Sarholm L. (2005) Detection of landmines by dogs, Environmental and Behavioural determinants.Commissioned by Geneva International Centre for Humanitarian Demining. 88pp.
  • Stone G., Hutt A., Duignan P., Teilmann J., Cooper R., Geschke K., Yoshinaga A., Russell K., Baker A. and Suisted R. (2005) Hector's Dolphin (Cephalorhynchus hectori hectori) Satellite Tagging, Health and Genetic Assessment.Commissioned by Department of Conservation. 31pp.
  • Stone G., Hutt A., Duigan P., Teilmann J., Geschke K., Russel K., Baker A., Cooper B., Brown JA. and Yoshinga A. (2004) Hector’s dolphin trial satellite tagging project.Commissioned by Department of Conservation. 31pp.
  • Thomas M., Brown J. and Maddigan F. (2004) Possum Monitoring in the Presence of Ground Birds, (Objective 1) Calibrating TSI with RTCI. Project No: R- 80621.Commissioned by Animal Health Board. 16.
  • Fraser KW., Brown JA. and Warburton B. (2003) Vector (possum and ferret) population monitoring: a review.Commissioned by Wellington Animal Health Board. 48pp.
  • Brown JA. (2002) A review of monitoring low density animal populations.Commissioned by Department of Conservation, Research report UCDMS2002/2, University of Canterbury. 11pp.
  • Brown JA. (2002) A review of monitoring low density animal populations.Commissioned by Department of Conservation.
  • Brown JA. (2002) Statistics for environmental monitoring.Commissioned by Department of Conservation, Research report UCDMS2002/2, University of Canterbury.
  • Nichols C., Stone GS., Hutt A. and Brown JA. (2002) Interactions between Hector’s dolphin (Cephalorhynchus hectori), boats and swimmers at Akaroa Habour, New Zealand.Commissioned by Department of Conservation, Wellington. 46pp.
  • Thomas MD., Brown JA., Maddigan F. and Sessions LA. (2002) Comparison of Trap-Catch, Orange and WaxTag methods for estimating possum densities in Northland.Commissioned by Northland Regional Council. 20pp.
  • Brown J. (2001) Designs for environmental monitoring.University of Canterbury. 1-1.
  • Brown JA. and Manly BFJ. (2001) Statistical Workshop Notes.Commissioned by Department of Conservation, Science and Research Internal Report 187. 150pp.
  • Brown J. and Thomas M. (2000) Residual Trap-catch Methodology for Low-density Possum Populations: Improving the Precision of Possum Population Density Estimates.Department of Mathematics and Statistics, University of Canterbury.
  • Brown JA. and Thomas MD. (2000) Residual trap-catch methodology for low-density possum populations.Commissioned by Animal Health Board Research Contract R-80512.
  • Nichols C., Stone G., Brown JA., Hutt A. and Yoshinga A. (2000) Hectors dolphin (Cephalorhynchus hectorii) - boat interaction observations in Akaroa Harbour.Commissioned by Department of Conservation Research Contract No. 2531. 38pp.
  • Stone GS., Cavagnaro L., Brown JA., Hutt A., Kraus S. and Baldwin K. (2000) Reactions of Hector's dolphins to acoustic gillnet pingers.Commissioned by Department of Conservation research contract no. 3071. 29pp.
  • Thomas MD. and Brown JA. (2000) Calibration of possum monitoring using Ferratox and leg-hold traps. Pest Control Research Report.Commissioned by Northland Regional Council.
  • Brown J. (1999) A review of factors affecting pilot-reported bird-strike rates at Christchurch International Airport.University of Canterbury.
  • Brown JA. and Manly BFJ. (1999) Statistical Methods for Environmental Management.Commissioned by University of Otago. 170pp.
  • Stone G., Cavagnaro L., Brown JA., Hutt A., Kraus A. and Baldwin K. (1999) In situ high frequency recordings and behavioural reactions of Hector's dolphin to acoustic gillnet pingers.Commissioned by Department of Conservation, research contract no. 3071..
  • Brown JA. (1996) The relative efficiency of adaptive cluster sampling for ecological surveys.Commissioned by Massey University.
  • Brown JA. and Boyce MS. (1996) Monitoring of Karner blue butterflies (Lycaeides melissa samuelis) for the proposed habitat conservation plan, Wisconsin.Commissioned by US National Fish and Wildlife Foundation.
  • Arulchelvam IM. and Brown JA. (1995) The relative accuracy, precision, and cost-effectiveness of the bait-consumption and bait-monitoring techniques.Commissioned by Landcare Research Contract Report LC9495/159.
  • Brown JA. and Arulchelvam IM. (1995) The relative importance of operational factors on the success of aerial possum-control operations.Commissioned by Landcare Research Contract Report LC9495/143.
  • Brown JA. (1994) Sampling patchy populations in ecology.Commissioned by Department of Conservation, Wellington.
  • Brown JA., Stone G., Yoshinaga A., Hutt A. and Rutledge M. (1993) Hector's dolphin research - 1993 field program progress report.Commissioned by Department of Conservation.. 22pp.
  • Brown JA., Young J. and Rutledge M. (1992) Aerial monitoring of the Banks Peninsula Marine Mammal Sanctuary.Commissioned by Department of Conservation.
  • Brown JA. (1990) Coastal resource inventory, Canterbury.Commissioned by Department of Conservation, Wellington. 138pp.
  • Brown JA. (1987) Branching of Radiata pine.Commissioned by Forest Research Institute internal report.
  • Brown JA. (1987) Comparison of butt-log branching characteristics of improved radiata breeds at Cpt 1218 Kaingaroa - Pinus radiata.Commissioned by Forest Research Institute internal report.
Oral Presentations
  • Robertson B., McDonald T., Brown J. and Price C. (2022) Drawing well-spread samples from spatial populations. 28 Sep 2022.
  • Robertson B., McDonald T., Brown J. and Price C. (2021) Quasi-random spatially balanced sampling. SER-RM Workshop: Practical Tools and Sample Designs for Ecological Restoration Monitoring, 06 May 2021.
  • Robertson B., Brown J., McDonald T. and Price C. (2020) Spatially balanced sampling of natural resources using a random-start Halton sequence.. Adelaide, Australia: University of Adelaide Biometry Hub.
  • Brown JA., Roberson B. and Jaksons P. (2012) Adaptive sampling. University of Wyoming, Laramie: Seminar.
  • Brown JA., Robertson B. and Jaksons P. (2012) Adaptive sampling. University of Pau and Pays de l'Adou: Seminar.
  • Brown JA., Robertson B. and Jaksons P. (2012) Adaptive sampling: How to sample only the good stuff. Department of Mathematics, Statistics, University of Canterbury: Seminar.
  • Brown JA. (2011) Adaptive sampling: My journey that began in the Department of Mathematics and Statistics, Otago University. Otago University, Dunedin, New Zealand: Mathematics & Statistics Department Seminar.
  • Brown JA., Hodge M. and Williams M. (2009) Adaptive survey designs for monitoring animal and plant distributions. Qatar University, Saudi Arabia: Department of Mathematics, Statistics and Physics Seminar, 01 Sep 2009.
  • Brown JA. (2005) Sampling animals when there are too few to count. Rothamsted: First Yates Seminar.
  • Brown JA. (2004) Sampling low density populations. Leetown Science Centre, West Virginia.
  • Brown JA. (2004) Sampling low density populations. Pennsylvania State University: 18 Mar 2005.
Discussion/Working Papers
  • Brown J., Oxley L., Rea W. and Reale M. (2008) The Empirical Properties of Some Popular Estimators of Long Memory Processes. University of Canterbury. 17pp.
Other
  • Brown JA. (2010) R for SAS and SPSS Users' by Robert A. Muenchen, Springer New York 2009. The American Statistician 64(1) [Book Review].
  • Lemke D., Brown JA., Hulme P. and Tadesse V. (2010) Monitoring and modeling: assessing the impact of invasive plants on the landscape. Geoworld April 2010: 19-23. [Magazine Article].

Student Supervision

Displaying all items.
    Current
  • PhD - Davies P: Statistical learning
  • Completed
  • PhD - Abi N: Spatially Balanced Sampling Methods in Household Surveys (2019)
  • PhD - Chappell M: 2005-PhD/DMA/EdD-Chappell, Michael (2007)
  • PhD - Dutton P: The elementary technology, diet, acquisition and processing of food and social interactions in relation to foraging of P. t. ellioti, a West African chimpanzees (2013)
  • PhD - Fukuda K: 2006-PhD/DMA/EdD-Fukuda, Kyoko (2009)
  • PhD - Haq A: Rank set sampling (2014)
  • PhD - Henley L: Statistical measures of human flourishing (2015)
  • PhD - Hodge M: Bias correction and change measurement in spatio-temporal data (2013)
  • PhD - Jaksons P: Adaptive long term sampling (2015)
  • PhD - Lemke D: Alien plants and their invasion of the forested landscape of the southern United States (2012)
  • PhD - Osinubii S: Habitat Effect on the Behaviour and Condition of the Yellow-breasted Boubou (Laniarius atroflavus) (2012)
  • PhD - Rea W: 2006-PhD/DMA/EdD-Rea, William (2008)
  • PhD - Saharan S: Data mining techniques for handling imbalanced classes for binary data set (2017)
  • PhD - Siripornpibul T: 1997-PhD/DMA/EdD-Siripornpibul, Taweesak (2000)
  • PhD - Tharer M: Investigating Efficient Algorithms for the Maximum Convex Sum Problem (2014)
  • PhD - Watkins A: Spatial variation of obesity rates in New Zealand: A spatial Microsimulation approach (2019)
  • PhD - Wickramarachchi C: Classification techniques in optimisation (2015)
  • Masters - Abey R: Statistical analysis in topic modelling (2015)
  • Masters - Baharunddin N: Distribution and factors affecting the abundance of Amphibola crenata in the Avon-Heathcote Estuary, 2008-2010 (2010)
  • Masters - Bergman J: Caregiver outcomes of patients living with Alzheimer’s disease and Parkinson’s disease with and without dementia (2019)
  • Masters - Chen X: Effects on Analysis Arising from Confidentialising Data using Random Rounding (2010)
  • Masters - Christenson B: 2002-Masters Thesis-Christenson, Brendon (2003)
  • Masters - Daish K: 2002-Masters Thesis-Daish, Katrina (2002)
  • Masters - Grassham A: The role of the tantalus monkey (Chlorocebus tantalus tantalus) in forest regeneration via seed dispersal in a West African montane forest (2012)
  • Masters - Hayward M: A comparative study of optimal stratification in business and agricultural surveys (2010)
  • Masters - Latu L: Linkage of family structure to the academic achievements of High School students in Tonga A comparative study of the academic achievement of Tongan students from traditional families and non-traditional families. (2018)
  • Masters - London S: Parkinson’s disease: comparison of negative outcomes from a large national database from individuals across NZ receiving a home-care assessment (2019)
  • Masters - Meurk C: 2004-Masters Thesis-Meurk, Carla (2005)
  • Masters - Seibold C: Spatial measures of earthquake patterns (2014)
  • Masters - Sonal S: Predicting decayed, missing or filled teeth in young children: A comparative use of conventional statistical methods and machine learning
  • Honours - Alias A: Stratified adaptive sampling (2010)
  • Honours - Baldwin K: 2006-Honours-Baldwin, Kathryn (2006)
  • Honours - Dawber J: 2009-Honours-Dawber, James (2009)
  • Honours - Hargreaves L: 1998-Honours-Hargreaves, Lynley (1998)
  • Honours - Hendy J: 1997-Honours-Hendy, Joanna (1997)
  • Honours - Sinclair N: 1999-Honours-Sinclair, Nigel (1999)
  • Honours - Zhu S: 2009-Honours-Zhu, Sha (2009)
  • Summer Student - Bar M: Using Big Data to help understand social isolation (2018)
  • Summer Student - Bolton M: Near term forecasting of a harmful algal bloom in a Marlborough Sounds embayment (2017)
  • Summer Student - Chen M: Managing medications as a predictor of aged residential care admission (2017)
  • Summer Student - Faulls A: Development of an image analysis tool to identify and enumerate mussel spat (2017)
  • Summer Student - Petrie P: Big Data and Advanced Care (Mortality & Hospital admission) (2016)
  • Summer Student - Qui P: How Social Support Influences Aged Residential Care Admission in People with Dementia in New Zealand (2017)

Editorial Work

Displaying all items.
  • Environmental and Ecological Statistics Associate Editor ( 2000 - 2023)
  • Journal of Agricultural, Biological and Environmental Statistics Associate Editor ( 2000 - 2023)

Affiliations

  • International Association for Statistical Education (Teaching/Research Organisation): Member, 2009-
  • International Statistical Institute (Professional Organisation): Elected member 2012-
  • New Zealand Statistics Association (NZSA) (Professional Organisation): President, 2008-2011

Research Groups

  • Biomathematics Research Centre
  • The New Zealand Health and Ageing Research Group
  • Environmental statistics
  • Nigerian Montane Forest Project
  • Waterways Centre for Freshwater Management

Research Projects

  • Adaptive survey designs for environmental monitoring in Qatar
  • Design of long term environmental monitoring programmes
  • Intelligent Systems For Prediction and Detection of Pest Invasion
  • NZIMA programme on Modelling Invasive Species and Weed Impact
  • Statistical modelling of tectonic processes
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