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

Код 895598

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

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 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. The element of MCPs is often to compare the means of two measures. For the...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-7864-7
Объём: 236 страниц
Масса: 381 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 2

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