Statistics research

The statistics group at Massey University's Auckland campus is a dynamic inter-disciplinary one, dedicated to the growth of knowledge through statistical analysis, modelling and inference.


Areas of expertise

Biostatistics

Biostatistics

Statistics is extremely important in areas such as genetics and human health. We develop and implement statistical methods for applications in the biological, ecological and health sciences, with expertise in linear and logistic regression, bioinformatics, medical statistics and nutrition.

Ecological statistics

Ecological statistics

We create statistical tools for ecological applications, including models of ecological systems, species’ abundances, biodiversity and community ecology. We engage in active field-based marine ecological research, and consulting for environmental monitoring and impact assessment.

Data mining

Data mining

We apply cutting-edge methods from computer science and statistics to model patterns and relationships, typically using large datasets. We research and apply techniques such as machine learning, image analysis, and pattern recognition to model data from a wide variety of fields including business analytics, social media analysis, genetics and ecology.

Experimental design

Experimental design

We do research on hierarchical design structures and the analysis of multi-way fixed, random and mixed models, with special expertise in complex analysis of variance, and computer-intensive resampling techniques, such as permutation tests and bootstrap methods.

Multivariate analysis

Multivariate analysis

The plethora of data available in large systems (such as genetics, ecology, bioinformatics and the health sciences) requires the analysis of multiple variables simultaneously. We research and develop rigorous statistical methods for the analysis and visualisation of high-dimensional systems, graphical models, ordination, and spatial statistics.

Bayesian statistics

Bayesian statistics and advanced statistical modelling

Bayesian statistics offer a powerful paradigm for the development of scientific knowledge. Our research includes probabilistic modelling, stochastic computation, the use and implementation of Monte Carlo Markov Chains, and other approaches in Bayesian inference and decision theory.


Statistics education

We have two ongoing projects in statistics education:

  • How do New Zealand students assess and interpret statements and outcomes related to probability and statistics

  • A Data and Story Library of datasets related to New Zealand business activity called BizStats for use in undergraduate business statistics teaching.


Research projects 

Examples of projects in the area of statistics.

Reserve haven for large snapper

A study led by scientists from Massey University’s Coastal-Marine Research Group (CMRG) has estimated the effects of three Hauraki Gulf marine reserves on snapper, by comparing numbers of fish inside and outside reserves.

KEY CONTACT

  • Prof Marti Anderson

    Prof Marti Anderson

    Chair in Statistics - New Zealand Institute for Advanced Study

    Email:

Our people working in this area

  • Dr Beatrix Jones

    Dr Beatrix Jones

    Senior Lecturer - Institute of Natural and Mathematical Sciences

    Email:

  • Dr Barry McDonald

    Dr Barry McDonald

    Senior Lecturer - Institute of Natural and Mathematical Sciences

    Email:

  • Dr Mat Pawley

    Dr Mat Pawley

    Senior Lecturer - Institute of Natural and Mathematical Sciences

    Email:

  • Dr Adam Smith

    Dr Adam Smith

    Lecturer - Statistics - Institute of Natural and Mathematical Sciences

    Email:

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