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Linear Mixed-Effects Models Using R A Step-by-Step Approach

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.03.2015

Abbildungen

XXXII, 542 p. 64 illus.

Verlag

Springer Us

Seitenzahl

542

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

861 g

Auflage

2013

Sprache

Englisch

ISBN

978-1-4899-9667-1

Beschreibung

Rezension

From the reviews:

Overall, this is very well-written book that covers both LMs and LMMs. Most of the R codes have been checked and work well. The R package nlmeU created by the authors provides great convenience for readers to explore the data in the textbook. Given the extensive applications of LM and LMM, the book should be very appealing to the readers of

Technometrics.


Techonometrics, 56:1 2014

“This textbook is built as a step by step incremental description of a modelling tool used extensively in the analysis of hierarchical structured data sets. It is a balanced collection of concepts and examples from various research areas … . In addition to a great collection of theory and examples, a state of the art description of LMMs in R, the authors developed the R package nlmeU which contains the data sets and presented R code, making this book a milestone in its field.” (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)

“Linear Mixed-effects Models Using R byAndrzej Galecki and Tomasz Burzkowski, published by Springer is a book that covers in dept a lot of material on linear models.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.03.2015

Abbildungen

XXXII, 542 p. 64 illus.

Verlag

Springer Us

Seitenzahl

542

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

861 g

Auflage

2013

Sprache

Englisch

ISBN

978-1-4899-9667-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Linear Mixed-Effects Models Using R

  • Introduction.- Linear Models for Independent Observations.- Linear Fixed-effects Models for Correlated Data.- Linear Mixed-effects Models.