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NONLINEAR REGRESSION MODELLING AND TIME DEPENDENT COVARLATES IN REPEATED MEASURES EXPERIMENTS |
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| Authors: | B.R. Cullis A.P. Verbyla |
| Affiliation: | Agricultural Research Institute, Wagga Wagga and University of Adelaide |
| Abstract: | The procedure of Verbyla & Cullis (1990) is extended to cater for the analysis of repeated measures data in which either non-linear modelling of the treatment contrasts is required and or there are time dependent covariates. These extensions are illustrated via two agricultural data sets. |
| Keywords: | Incomplete data nonlinear regression repeated measures residual maximum likelihood time dependent covariates |