Department of Statistics

Profile: David Scott

David Scott earned his BA and PhD from the Australian National University, and a Diploma in Computer Science from La Trobe University.

He has taught at La Trobe University, the University of Sheffield, Bond University and Colorado State University. He joined The University of Auckland in 1995.

He was Head of the Department of Statistics in 2000, and is a past-President of the New Zealand Statistical Association.


Areas of expertise

Probability theory, inference for stochastic processes, categorical data analysis, Bayesian analysis, applied statistics and statistical computing.

David Scott SCS

Book time with us



Some recent clients

  • Air New Zealand
  • Fisher & Paykel Healthcare
  • Mighty River Power
  • Hesketh Henry


Client testimonials

David helped us find out more about the diet of New Zealand endemic dung beetles. These beetles are surprisingly abundant and widespread in our forests even though there would have been little mammal dung available for them to feed on. We ran a series of trials to identify which food types they preferred, such as bird, invertebrate, reptile, and introduced mammal dung, and David used randomisation tests to analyse the data. In addition, he used a technique called the Kaplan-Meier estimate of the survivor function to assess whether the beetles survived better on different food types. David’s statistical expertise was critical to correctly analysing and interpreting our experiments, allowing this research to be published in a high-quality journal – and David was included as a co-author on the paper to acknowledge his significant contribution.
Jacqueline Beggs, Senior Lecturer in Ecology and Entomology, University of Auckland


Some of David's recent publications

  • Pokorny, M. and Scott, D (2011). Do Maori and Pacific Islander men present with more advanced prostate cancer than European New Zealand men? An analysis of 486 men undergoing biopsy in Auckland. British Journal of Urology International, 107, Issue Supplement S3, 27–32.
  • Scott DJ, Würtz D, Dong C, and Tran, TT (2011). Moments of the generalized hyperbolic distribution. Computational Statistics, 26 (2011), 459–476. Scott DJ, Russell K, Scheffer J (2006). Multi-variable relationships in a batch annealing process.
  • In Proceedings of the Mathematics-In-Industry Study Group, G. Wake, Editor, pp. 33–5. Ameratunga SN, Macmillan AK, Stewart JM, Scott DJ, Crengle SM, & Mulholland K (2005). Evaluating the post-licensure effectiveness of a Group B meningococcal vaccine in New Zealand: a multi-faceted strategy. Vaccine, 23, 2231–2234.
  • Scott DJ, & Haschenburger JK (2005). Using the hyperbolic distribution to estimate the precision of size distribution percentiles of fluvial gravels. Computers & Geosciences, 31, 1224–1233.
  • Cloete N, Nicholls GK, & Scott DJ. (2004). Simulation of ancestral selection graphs for Monte Carlo integration. ANZIAM Journal, 45(E), 391–404.
  • Anderson CS, Ni Mhurchu C, Scott DJ, Bennett DA, Jamrozik K, & Hankey G (2003). Triggers of subarachnoid hemorrhage: role of physical exertion, smoking and alcohol in the Australasian Cooperative Research on Subarachnoid Hemorrhage Study (ACROSS). Stroke, 34, 1771–1776.