George A. Milliken, Dallas E. Johnson

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

Analysis of Covariance

• Format: PDF

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
• Seitenzahl: 624
• Erscheinungstermin: 29. August 2001
• Englisch
• ISBN-13: 9781420036183
• Artikelnr.: 53291866

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.