Fr. 246.00

Applied Statistics - Analysis of Variance and Regression

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

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Informationen zum Autor RUTH M. MICKEY, PHD , is Professor of Statistics at the University of Vermont in Burlington. OLIVE JEAN DUNN, PHD , is Professor Emeritus at the University of California, Los Angeles. VIRGINIA A. CLARK, PHD , is also Professor Emeritus at the University of California, Los Angeles. Drs. Dunn and Clark are the authors of Basic Statistics: A Primer for Biomedical Sciences , Third Edition, published by Wiley. Klappentext 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. Zusammenfassung Designed to serve as a reference for the practitioner and as a self contained textbook for the advanced student. Inhaltsverzeichnis 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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