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Australasian Biometrics and New Zealand Statistical Association Joint Conference 2001
December 10-13, 2001
Park Royal Hotel
Christchurch, New Zealand

Organizers
David Baird, Dave Saville, Harold Henderson, Peter Johnstone, Marco Reale, Irene Hudson, Julian Visch, Roger Littlejohn

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Statistical modelling for complex binary data in biometrics
by
Tony Pettitt
Queensland University of Technology

Complex binary data arise variously in biometrics. Cases range from diseased or not diseased patients, present or absent plants, signals that are off or on. Measurements may be arranged in space, ordered by time or clustered in units. This talk considers a general model for binary data, a quadratic exponential family model, which is known as the autologistic model when specialized for spatial data. Like all statistical models, this family has its advantages and disadvantages and these will be described. A recent result of the speaker's which overcomes one difficulty, the computation of the normalising constant, will be described and various applications to data from agriculture, ecology and physiology will be given.

Date received: September 26, 2001

Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caic-16.