Error model diagnostics in the general linear model relevant to the analysis of repeated measurements and field experiments

Authors

Brian R. Cullis, Agricultural Research InstituteFollow
C A. McGilchrist, University of New South Wales
A C. Gleeson, Agricultural Research Centre

RIS ID

78816

Publication Details

Cullis, B. R., McGilchrist, C. A. & Gleeson, A. C. (1991). Error model diagnostics in the general linear model relevant to the analysis of repeated measurements and field experiments. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 53 (2), 409-416.

Abstract

The large sample distribution of the recursive residual maximum likelihood residuals from the general linear model with dependent errors is derived. Further results are obtained from this distribution to aid the identification of an appropriate error model in the general linear model.

Link to publisher version (URL)

Journal of the Royal Statistical Society. Series B: Statistical Methodology