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Regression analysis of dependent error models

Published online by Cambridge University Press:  17 April 2009

C. A. McGilchrist
C. A. McGilchrist
Affiliation:
Department of Statistics, University of New South Wales, P.O. Box 1, Kensington, N.S.W. 2033, Australia.
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Abstract

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A method of analysing the general linear regression model is described, for the case where the observations are correlated. For many applications the correlations are structured, with neighbouring observations being more strongly correlated than those some distance apart in time or space. Such correlation structures may often be assumed to belong to some class of models indexed by a small number of parameters. Estimation and inference procedures which are able to cope with a wide range of correlation models, are described and the methods are applied to problems which occur in biometry.

Type
Research Article
Information
Bulletin of the Australian Mathematical Society , Volume 34 , Issue 2 , October 1986 , pp. 199 - 209
Copyright
Copyright © Australian Mathematical Society 1986

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