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

About The Author:

B. S. Everitt is Professor Emeritus of the Institute of Psychiatry, King's College London. He is the author of almost 60 books on statistics and computing, including Medical Statistics from A to Z, also from Cambridge University Press.

A. Skrondal is Senior Statistician at the Norwegian Institute of Public Health, Professor of Biostatistics in the Department of Mathematics at the University of Oslo, and Honorary Professor at the London School of Hygiene and Tropical Medicine. He has published in more than 50 different peer-reviewed journals.

Table Of Contents:

Preface; Acknowledgements; Notes on use; Sources; The Dictionary.

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The Cambridge Dictionary of Statistics

Library Journal

An update to the 2005 edition, this field-specific dictionary explains nearly 4000 terms, concepts, and models relevant to fields employing theoretical, applied, scientific, and survey-related probability methods. Everitt (coauthor, A Dictionary of Statistics for Psychologists) and Skrondal (Multi-Level Modeling) incorporate both computational and graphic considerations while profiling in paragraph-long biographies the field's 100 most significant statisticians. Entries are alphabetized by name and include equations, illustrations, cross-references, and source titles. A thoroughgoing update to Graham Upton and Ian Cook's cost-effective paperback Oxford Dictionary of Statistics, which, although straightforward enough for the novice, contains only half the entries of Everitt and Skrondal's book.