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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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Inference for the two-component error model
by
Geoff Jones
Massey University

The two-component error model was introduced by Rocke and Lorenzo (Technometrics, 1995, 37 pp176-184) for modelling the errors in a calibration assay. It postulates the presence of both additive and multiplicative errors in a regression relationship. Estimation and inference based on maximum likelihood are rather difficult because they are based on the numerical optimization of a numerically integrated likelihood. In particular, interval estimation of unknown concentrations is a seemingly intractable problem. Here Markov chain Monte Carlo methods are considered as an alternative.

Date received: August 29, 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 # cahg-41.