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ANOVA and Mixed Models Lukas Meier

ANOVA and Mixed Models By Lukas Meier

ANOVA and Mixed Models by Lukas Meier

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Summary

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.

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ANOVA and Mixed Models Summary

ANOVA and Mixed Models: A Short Introduction Using R by Lukas Meier

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

    About Lukas Meier

    Lukas Meier is a senior scientist at the Seminar fur Statistik at ETH Zurich. 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 Zurich and is the director of a continuing education program in applied statistics.

    Table of Contents

    1. Learning from Data. 1.1. Cause-Effect Relationships. 1.2. Experimental Studies. 2. Completely Randomized Designs. 2.1. One-Way Analysis of Variance. 2.2. Checking Model Assumptions. 2.3. Nonparametric Approaches. 2.4. Power or What Sample Size Do I Need?. 2.5. Adjusting for Covariates. 2.6. Appendix. 3. Contrasts and Multiple Testing. 3.1. Contrasts. 3.2. Multiple Testing. 4. Factorial Treatment Structure. 4.1. Introduction. 4.2. Two-Way ANOVA Model. 5. Complete Block Designs. 5.1. Introduction. 5.2. Randomized Complete Block Designs (RCBD). 5.3. Nonparametric Alternatives. 5.4. Outlook: Multiple Block Factors. 6. Random and Mixed Effects Models. 6.1. Random Effects Models. 7. Split-Plot Designs. 7.1. Introduction. 7.2. Properties of Split-Plot Designs. 7.3. A More Complex Example in Detail: Oat Varieties. 8. Incomplete Block Designs. 8.1. Introduction. 8.2. Balanced Incomplete Block Designs (BIBD). 8.3. Analysis of Incomplete Block Designs. 8.4. Outlook. 8.5. Concluding Remarks. Bibliography. Index

    Additional information

    CIN036770420XVG
    9780367704209
    036770420X
    ANOVA and Mixed Models: A Short Introduction Using R by Lukas Meier
    Lukas Meier
    Chapman & Hall/CRC The R Series
    Used - Very Good
    Paperback
    Taylor & Francis Ltd
    20221104
    187
    N/A
    Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
    This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

    Customer Reviews - ANOVA and Mixed Models