Description |
1 online resource (852 pages) |
Series |
Statistics: A Series of Textbooks and Monographs |
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Statistics, textbooks and monographs.
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Contents |
Front cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Introductory Statistical Inference and Regression Analysis; Chapter 2. Experiments, the Completely Randomized Design-Classical and Regression Approaches; Chapter 3. Two-Factor Factorial Experiments and Repeated Measures Designs; Chapter 4. Regression Approaches to the Analysis of Responses of Two-Factor Experiements and Repeated Measures Designs; Chapter 5. Designs with Randomization Restriction-Randomized Complete Block, Latin Squares, and Related Designs |
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Chapter 6. Regression Models for Randomized Complete Block, Latin Squares, and Graeco-Latin Square DesignsChapter 7. Factorial Designs-The 2k and 3k Factorial Designs; Chapter 8. Regression Models for 2k and 3k Factorial Designs; Chapter 9. Fractional Replication and Confounding in 2k and 3k Factorial Designs; Chapter 10. Balanced Incomplete Blocks, Lattices, and Nested Designs; Chapter 11. Methods for Fitting Response Surfaces and Analysis of Covariance; Chapter 12. Multivariate Analysis of Variance (MANOVA); Appendix; Index; Back cover |
Summary |
Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression Approaches with SAS not only covers classical experimental design theory, it also explores regression approaches. Capitalizing on the availability of cutting-edge software, the author uses both manual methods and SAS programs to carry out analyses. The book presents most of the different designs covered in a typical experimental design course. It discusses the requirements for good experimentation, the completely randomized design, the use of orthogonal contras |
Bibliography |
Includes bibliographical references at the end of each chapters and index |
Notes |
Print version record |
SUBJECT |
SAS (Computer file) http://id.loc.gov/authorities/names/n88028236
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SAS (Computer file) fast |
Subject |
Regression analysis -- Data processing.
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Analysis of variance -- Data processing
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MATHEMATICS -- Probability & Statistics -- Regression Analysis.
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Analysis of variance -- Data processing
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Regression analysis -- Data processing
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Form |
Electronic book
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ISBN |
9781420060553 |
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1420060554 |
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