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9781420060546

Design and Analysis of Experiments: Classical and Regression Approaches with SAS

by ;
  • ISBN13:

    9781420060546

  • ISBN10:

    1420060546

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2008-07-29
  • Publisher: Chapman & Hall/

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Summary

Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression Approaches with SASnot 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 contrast to test hypotheses, and the model adequacy check. With an emphasis on two-factor factorial experiments, the author analyzes repeated measures as well as fixed, random, and mixed effects models. He also describes designs with randomization restrictions, before delving into the special cases of the 2 k and 3 k factorial designs,including fractional replication and confounding. In addition, the book covers response surfaces, balanced incomplete block and hierarchical designs, ANOVA, ANCOVA, and MANOVA.Fortifying the theory and computations with practical exercises and supplemental material, this distinctive text provides a modern, comprehensive treatment of experimental design and analysis.

Table of Contents

Introductory Statistical Inference and Regression Analysis
Experiments, the Completely Randomized Design'Classical and Regression Approaches
Two-Factor Factorial Experiments and Repeated Measures Designs
Regression Approaches to the Analysis of Responses of Two-Factor Experiments and Repeated Measures Designs
Designs with Randomization Restriction'Randomized Complete Block, Latin Squares, and Related Designs
Regression Models for Randomized Complete Block, Latin Squares, and GraecoLatin Square Designs
Factorial Designs'The 2 k and 3 k Factorial Designs
Regression Models for 2 k and 3 k Factorial Designs
Fractional Replication and Confounding in 2 k and 3 k Factorial Designs
Balanced Incomplete Blocks, Lattices, and Nested Designs
Methods for Fitting Response Surfaces and Analysis of Covariance
Multivariate Analysis of Variance
Appendix
Index
Table of Contents provided by Publisher. All Rights Reserved.

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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