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 Concepts, Theoretical Reasons, and Case Studies on Longitudinal and Repeated Measures Data Analysis Multiple Comparisons for Mixed Models.
Наименование:

Concepts, Theoretical Reasons, and Case Studies on Longitudinal and Repeated Measures Data Analysis Multiple Comparisons for Mixed Models.

автор George Z.X. издательство Книга по Требованию Математический анализ. Кратные и криволинейные интегралы. Задачи, решения
Cтраниц 236        мягкая обложка       
Аннотация:This book includes full of case studies and gives detailed step by step theoretical explanations. The assumptions of constant variance and uncorrelated errors that are made in general linear models often do not hold for longitudinal data, repeated measures, and general mixed models. The element of MCPs is often to compare the means of two measures. For the two-sample t test, even a moderate correlation to observations will result in serious bias; this problem definitely carries over to multiplicity-adjusted inferences. In these cases the sample errors are inflated/deflated because of the correlation among observations, and results in giving incorrect inferences. The traditional multiple comparison (MCP) methods based on the studentized range distribution and multivariate t distribution are exact only under the assumptions of linearity, normality, constant variance, and uncorrelated error. In this book, we suggest using different ways of dealing with this situation under various mixed models. The book briefly reviews the background of traditional procedures of MCPs then investigates some MCPs with longitudinal repeated measures.
Автор: George Z.X.
Издательство: Книга по Требованию
Год:2009
Цена:
3214 руб
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Поиск: Concepts, Theoretical Reasons, and Case Studies on Longitudinal and Repeated Measures Data Analysis Multiple Comparisons for Mixed Models.
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