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ANOVA and mixed models :a short introduction using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	ANOVA and mixed models :Lukas Meier, ETH Zürich, Switzerland.
Reminder of title:	a short introduction using R /
Author:	Meier, Lukas,
Description:	xiv, 187pages :illustrations ;24cm.
Subject:	Analysis of variance.
ISBN:	9781003146216$q(ebook)

ANOVA and mixed models :a short introduction using R /
Meier, Lukas,

ANOVA and mixed models :a short introduction using R /Lukas Meier, ETH Zürich, Switzerland. - First edition. - xiv, 187pages :illustrations ;24cm. - Chapman and Hall/CRC the R series. - Chapman & Hall/CRC the R series (CRC Press).

Includes bibliographical references (pages 175-184) and index.

"ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and the researcher with a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization, model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications. Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates This book is primarily aimed at students, researchers, and practitioners from all areas who wish to analyze corresponding data with R. Readers will learn a broad array of models hand-in-hand with R, including the application of some of the most important add-on packages"--

ISBN: 9781003146216$q(ebook)

LCCN: 2022022113Subjects--Topical Terms:

181863
Analysis of variance.

LC Class. No.: QA279

Dewey Class. No.: 519.5/3802855133

ANOVA and mixed models :a short introduction using R /
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245 1 0 $a ANOVA and mixed models : $b a short introduction using R / $c Lukas Meier, ETH Zürich, Switzerland.
250 $a First edition.
264 1 $a Boca Raton : $b Chapman & Hall/CRC Press, $c 2023.
300 $a xiv, 187pages : $b illustrations ; $c 24cm.
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490 1 $a Chapman and Hall/CRC the R series
504 $a Includes bibliographical references (pages 175-184) and index.
520 $a "ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and the researcher with a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization, model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications. Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates This book is primarily aimed at students, researchers, and practitioners from all areas who wish to analyze corresponding data with R. Readers will learn a broad array of models hand-in-hand with R, including the application of some of the most important add-on packages"-- $c Provided by publisher.
588 $a Description based on print version record.
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