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

ISBN-13: 9780367387075 / Angielski / Miękka / 2019 / 856 str.

Leonard C. Onyiah

Opis

This comprehensive text presents classical and regression approaches to experimental design and analysis. Capitalizing on the availability of cutting-edge software, the author uses both manual methods and SAS programs to carry out analyses. He provides examples to illustrate numerous designs, such as randomized complete block, Latin square, Graeco–Latin square, and balanced incomplete block designs. The text includes the full SAS code and outputs as well as end-of-chapter exercises to encourage hands-on SAS programming experience. A solutions manual is available upon qualified course adoption.

Spis treści

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 Graeco–Latin 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.

O autorze

Onyiah, Leonard C.