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9780898714272 Academic Inspection Copy

Statistical Design and Analysis of Experiments

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Readers should find this book a valuable reference on the design of experiments. It contains hard-to-find information on topics such as change-over designs with residual effects and early treatment of analysis of covariance. Other topics include linear models and quadratic forms, experiments with one or more factors, Latin square designs, and fractions of 2n factorial designs. There is also extensive coverage of the analysis of incomplete block designs and of the existence and construction of balanced and partially balanced designs. A new preface (to the classics edition) describes the changes made in experimental design since the book was first published in 1971. It discusses the use of personal computers to analyze data and details the emergence of industrial statistics.
Preface Preface to the Classics Edition References in the Preface Chapter 1: Introduction Chapter 2: Linear Models and Quadratic Forms Chapter 3: Experiments with a Single Factor Chapter 4: Experiments with Two Factors Chapter 5: Experiments with Several Factors Chapter 6: Latin Square Designs Chapter 7: Factors with Two or Three Levels Chapter 8: Fractions of 2n Factorial Designs Chapter 9: Fractional Factorials with More Than Two Levels Chapter 10: Response Surfaces Chapter 11: Incomplete Block Designs Chapter 12: Partially Balanced Incomplete Block Designs Chapter 13: The Existence and Construction of Balanced Incomplete Block Designs Chapter 14: The Existence and Construction of Partially Balanced Designs Chapter 15: Additional Topics in Partially Balanced Designs Appendix: Matrices and Quadratic Forms Bibliography Index.
An invaluable reference on the design of experiments. Includes hard-to-find information on change-over designs and analysis of covariance.
'Peter John's book is truly a classic but not an outdated one. It was one of the first to blend in the standard matrix notation that almost all linear models books now use. It has topics and discussion that are still valuable today.' Richard F. Gunst, Southern Methodist University
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