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Description: |
xiii, 1057 pages : illustrations ; 25 cm. |
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Bibliography Note: |
Includes bibliographical references (pages 1041-1047) and indexes. |
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Contents Note: |
Contents: Preface -- Chap. 1. Introduction to design -- Chap. 2. Principles of estimation and inference : means and variances -- Chap. 3. Design and analysis of single-factor experiments : completely randomized design -- Chap. 4. Single-factor experiments having repeated measures on the same elements -- Chap. 5. Design and analysis of factorial experiments : completely randomized designs -- Chap. 6. Factorial experiments : computational procedures and numerical examples -- Chap. 7. Multifactor experiments having repeated measures on the same elements -- Chap. 8. Factorial experiments in which some of the interactions are confounded -- Chap. 9. Latin squares and related designs -- Chap. 10. Analysis of covariance -- Appendix A. Random variables -- Appendix B. Vector and matrix algebra -- Appendix C. Linear models : regression and the analysis of variance -- Appendix D. Tables -- Appendix E. Topics closely related to the analysis of variance. |
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Summary, Etc. Note: |
Summary: A revision of this classic statistics text for first-year graduate students in psychology, education and related social sciences. The two new authors are former students of Winer's. They have updated, rewritten and reorganized the text to fit the course as it is now taught. |
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Series Added Entry: |
McGraw-Hill series in psychology. |