Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics - Andrzej Galecki - Books - Springer-Verlag New York Inc. - 9781461438991 - February 5, 2013
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Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics 2013 edition

Andrzej Galecki

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Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics 2013 edition

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs.

542 pages, 64 black & white illustrations, 47 black & white tables, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 5, 2013
ISBN13 9781461438991
Publishers Springer-Verlag New York Inc.
Pages 542
Dimensions 160 × 234 × 37 mm   ·   975 g
Language English  

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