
AbstractA general approach to repeated measures analysis described in MCGILCHRIST and CULLIS (1991) is extended to general linear models in which there is a homogeneous correlation structure such as a stationary process but the variances are heterogeneous over time. Models for the variance heterogeneity are suggested and results are applied to data examining the effect of enzootic pneumonia on young pigs.
model selection, REML, homogeneous correlation structure, enzootic pneumonia, likelihood ratio test, ML, general linear models, variance heterogeneity, Linear inference, regression, AIC, repeated measures analysis
model selection, REML, homogeneous correlation structure, enzootic pneumonia, likelihood ratio test, ML, general linear models, variance heterogeneity, Linear inference, regression, AIC, repeated measures analysis
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