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

Name: Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics
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Author: Andrzej Galecki

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

Andrzej Galecki

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

Mediji	Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku)
Izlaists	2013. gada 5. februāris
ISBN13	9781461438991
Izdevēji	Springer-Verlag New York Inc.
Lapas	542
Izmēri	160 × 234 × 37 mm · 975 g
Valoda	Angļu