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

by Onyiah; Leonard C.

• ISBN13: 9781420060546
• ISBN10: 1420060546
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-07-29
• Publisher: Chapman & Hall/

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

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