This work describes several statistical techniques for studying
repeated measures data, presenting growth curve methods applicable
to biomedical, social, animal, agricultural and business research.
It details the multivariate development of growth science and
repeated measures experiments, covering time-moving covariates,
exchangable errors, bioassay results, missing data procedures and
nonparametric and Bayesian methods.
General
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