Applied Statistics

Analysis of Variance and Regression
3rd Revised Auflage
ISBN: 978-0-471-37038-3
Verlag: Turner Publishing Company

Buch, Englisch, 448 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 877 g

Reihe: Wiley Series in Probability and Statistics

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.

Autoren/Hrsg.

Mickey, Ruth M

Dunn, Olive Jean

Clark, Virginia A

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

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.

Über Autor(innen)

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.