The Cambridge Dictionary of Statistics
If you work with data and need easy access to clear, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational and graphical aspects. Entries are provided for standard and specialized statistical software. In addition, short biographies of over 100 important statisticians are given. Definitions provide enough mathematical detail to clarify concepts and give standard formula when these are helpful. The majority of definitions then give a reference to a book or article where the user can seek further or more specialized information, and many are accompanied by graphical material to aid understanding.
- Fourth edition includes new entries reflecting changes in the field, particularly a growing interest in Bayesian statistics and machine learning
- Trusted author in touch with contemporary statistical practice
- Carefully chosen pointers to the literature give users access to information beyond the basic definitions
Reviews & endorsements
"This book is fresh with updated content and additional pages. Everitt, a strong statistician with some 50 books in publication, has once again devoted his talents and expertise to updating this dictionary. Skondral, an expert in multilevel and longitudinal modeling, is well published in biostatistics. These two great minds offer a book with nearly 4,000 statistical terms and 100-plus updated biographical entries. Cambridge deserves commendation for offering an updated edition consistently every four years. Highly recommended."
K.L. Swetland, University of South Carolina Upstate for Choice Magazine
Product details
August 2010Adobe eBook Reader
9780511784552
0 pages
0kg
150 b/w illus.
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- Acknowledgements
- Notes on use
- Sources
- The Dictionary.