George A. Milliken, Dallas E. Johnson

Analysis of Messy Data, Volume III (eBook, ePUB)

Analysis of Covariance

• Format: ePub

Produktbeschreibung

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. The authors of this book take a unique approach to the analysis of covariance. Looking at a set of regression models, one for each of the treatments or treatment combinations, analysts can use their knowledge of regression analysis and analysis of variance to help attack the problem. With a careful balance of theory and examples, this volume provides an invaluable guide to this strategy's techniques, theory, and application.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 29. August 2001
• Englisch
• ISBN-13: 9781040203255
• Artikelnr.: 73256722

Autorenporträt

George A. Milliken, Dallas E. Johnson

Inhaltsangabe

Introduction to the Analysis of Covariance. One-Way Analysis of
Covariance-One Covariate in a Completely Randomized Design Structure.
Examples: One-Way Analysis of Covariance-One Covariate in a Completely
Randomized Design Structure. Multiple Covariates in a One-Way Treatment
Structure in a Completely Randomized Design Structure Two-Way Treatment
Structure and Analysis of Covariance in a Completely Randomized Design
Structure. Beta-Hat Models. Variable Selection in the Analysis of
Covariance Models. Comparing Models for Several Treatments. Two Treatments
in a Randomized Complete Block Design Structure. More that Two Treatments
in a Blocked Design Structure. Covariates Measured on the Block in RCB and
Incomplete Block Design Structures. Random Effects Models with Covariates.
Mixed Models. Analysis of Covariance Models with Heterogeneous Errors.
Analysis of Covariance for Split-Plot and Strip-Plot Design Structures.
Analysis of Covariance for Repeated Measures Designs. Analysis of
Covariance for Nonreplicated Experiments. Special Applications of Analysis
of Covariance.