A valuable new edition of a standard in the field of statistics
For the ever-increasing number of practitioners who must perform sophisticated statistical analyses on computers, Applied Statistics: Analysis of Variance and Regression has long been a standard reference and text. This new Third Edition has been thoroughly revised to provide a comprehensive and up-to-date combination of sound statistical methodology, practical advice on the application of this methodology, and interpretation of output from statistical programs.
Special features of this edition include:
* A highly readable text, with mathematical background kept at a low level
* Comprehensive treatment of each topic, from summarization of data to presentation of results
* Careful explanation of assumptions, how to check if the data meet them, and what to do if they don't
* A greater emphasis on regression, data screening, and confidence intervals
* In-depth discussion of design-related topics such as mixed models and random effects
* Graded and challenging exercises at the end of each chapter and on the Wiley ftp site
* Overviews of more advanced topics
* An extensively revised chapter on repeated measures designs
Eminently suitable for students and researchers who may not have a calculus background as well as for more advanced practitioners, this self-contained, comprehensive treatment of variance and regression analysis readies a new generation of researchers for the demands of this growing field.
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.
Ruth M. Mickey
Allg. Public Health Biostatistics Biostatistik Gesundheits- u. Sozialwesen Health & Social Care Health Care Administration Public Health General Statistics Statistik Verwaltung im Gesundheitswesen