Applied Statistics
Analysis of Variance and Regression
3rd Edition
Published on 5. March 2004
Book
Hardback
448 pages
978-0-471-37038-3 (ISBN)
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.
Reviews / Votes
"...beginning level graduate students in statistics will find this book very valuable." (Journal of Statistical Computation and Simulation, January 2006) "...Overall this is an excellent book...I recommend this book to everyone..." (Statistical Methods in Medical Research, Vol. 14, 2005)"...The book is an excellent material for describing the data as well as a useful textbook for students to understand, apply and to interpret the statistical methods." (Zentralbaltt MATH, May 2005)
"...it contains a wealth of useful up-to-date information and examples from the health sciences." (Technometrics, November 2004)
"The level of the book is also more consistently intermediate...a few more advanced topics are now excluded." (The American Statistician, August 2004)
More details
Product info
gebunden
Series
Edition
3. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Edition type
New edition
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 30 mm
Weight
877 gr
ISBN-13
978-0-471-37038-3 (9780471370383)
Schweitzer Classification
Other editions
Additional editions
Ruth M. Mickey | Olive Jean Dunn | Virginia A. Clark
Applied Statistics
Analysis of Variance and Regression
Book
04/2010
3rd Edition
Wiley
€123.50
Shipment within 10-20 days
Previous edition
Book
05/1987
2nd Edition
Wiley
€131.23
Article exhausted; check for reprint
Persons
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.
Content
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.