Statistical Design and Analysis of Experiments (Classics in Applied Mathematics No. 22)
By: Peter W. M. John (author), Robert O'Malley (series_editor)Paperback
2 - 4 weeks availability
Readers will find this book an invaluable 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.
Linear Models and Quadratic Forms; Experiments With a Single Factor; Experiments With Two Factors; Experiments With Several Factors; Latin Square Designs; Factors With Two or Three Levels; Fractions of 2n Factorial Designs; Fractional Factorials With More Than Two Levels; Response Surfaces; Incomplete Block Designs; Partially Balanced Incomplete Block Designs; The Existence and Construction of Balanced Incomplete Block Designs; The Existence and Construction of Partially Balanced Designs; Additional Topics in Partially Balanced Designs; Appendix - Matrices and Quadratic Forms.
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- ID: 9780898714272
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