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.
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