Response transformations in repeated measures and growth curve models

Autor:	Charles Todd, Robert J. Boik, Scott K. Hyde
Rok vydání:	2000
Předmět:	Statistics and Probability Mixed model Estimation theory Scoring algorithm Likelihood-ratio test Statistics Covariance Growth curve (statistics) Statistical hypothesis testing Sphericity Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 29:699-733
ISSN:	1532-415X 0361-0926
Popis:	This article describes estimation and inference procedures for the parameters of the Box-Cox and foided-power transformations in repeated measures and growth curve models. Procedures for computing maximum likelihood estimates of the transformation and covariance parameters under several covanance structures (omnibus sphericity, local sphericity, and unstructured) are described. Lack of fit statistics and hypothesis tests for comparing these structures also are described. The procedures are illustrated on three data sets. Software for performing the analyses in the SAS System is described and is available from the authors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::62ea67a6067752a03c272157701fdf1d https://doi.org/10.1080/03610920008832511 Zobrazit plný text záznamu