ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/Crc the R)

Meier, Lukas

ISBN 10: 036770420X / ISBN 13: 9780367704209

Published by Chapman and Hall/CRC, 2022

About this Item

Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.

Seller Inventory # M0036770420X-B

Bibliographic Details

• Title: ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/Crc the R)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2022
• Language: English
• ISBN 10: 036770420X
• ISBN 13: 9780367704209
• Binding: Soft cover
• Condition: acceptable

About this title

Synopsis

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher 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 and 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 are available here.

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 applications of some of the most important add-on packages.

About the Author

Lukas Meier is a senior scientist at the Seminar für Statistik at ETH Zürich. His main interests are teaching statistics at various levels, the application of statistics in many fields of applications using advanced ANOVA or regression models, and high-dimensional statistics. He co-leads the statistical consulting service at ETH Zürich and is the director of a continuing education program in applied statistics.