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A model for the analysis of growth data from designed experiments.

Authors
  • Cullis, B R
  • McGilchrist, C A
Type
Published Article
Journal
Biometrics
Publication Date
Mar 01, 1990
Volume
46
Issue
1
Pages
131–142
Identifiers
PMID: 2350567
Source
Medline
License
Unknown

Abstract

A model for growth data from designed experiments is presented which extends the stochastic differential equation of Sandland and McGilchrist (1979, Biometrics 35, 255-272). Residual maximum likelihood (REML) is used to estimate the parameters of the model. The model is easily extended to incomplete data and is shown to overcome some of the practical difficulties encountered with the profile model. The procedure is applied to data from experiments on pigs and sheep.

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