Applied statistics : analysis of variance and regression

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Bibliographic Information

Applied statistics : analysis of variance and regression

Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark

(Wiley series in probability and mathematical statistics)

Wiley-Interscience, c2004

3rd ed

Available at  / 38 libraries

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Includes bibliographical references and index

Description and Table of Contents

Description

This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student. * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions. * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout. * Includes both graded and challenging exercises. * Liberal computer discussions now supplemented with SAS and SPSS.

Table of Contents

Preface. 1. Data Screening. Problems. References. 2. One-Way Analysis of Variance Design. Problems. References. 3. Estimation and Simultaneous Inference. Problems. References. 4. Hierarchical or Nested Design. Problems. References. 5. Two Crossed Factors: Fixed Effects and Equal Sample Sizes. Problems. References. 6 Randomized Complete Block Design. Problems. References. 7. Two Crossed Factors: Fixed Effects and Unequal Sample Sizes. Problems. References. 8. Crossed Factors: Mixed Models. Problems. References. 9. Repeated Measures Designs. Problems. References. 10. Linear Regression: Fixed X Model. Problems. References. 11. Linear Regression: Random X Model and Correlation. Problem. References. 12. Multiple Regression. Problems. References. 13. Multiple and Partial Correlation. Problems. References. 14. Miscellaneous Topics in Regression. Problems. References. 15. Analysis of Covariance. Problems. References. 16. Summaries, Extensions, and Communication. References. Appendix A. Appendix B. Index.

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