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A Dictionary of Statistics

A Dictionary of Statistics


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About the Book

This wide-ranging, jargon-free dictionary contains over 2,000 entries on all aspects of statistics including terms used in computing, mathematics, operational research, and probability, as well as biographical information on over 200 key figures in the field, and coverage of statistical journals and societies. It embraces the whole multi-disciplinary spectrum of this complex subject, and will be invaluable for students and professionals from a wide range of disciplines, including politics, market research, medicine, psychology, pharmaceuticals, and mathematics. The entries are generously illustrated with useful figures and diagrams, and include worked examples where applicable, which place them in a practical context. Appendices include a historical calendar of important statistical events, and tables of statistical and mathematical notation. Fully updated for the second edition, the dictionary now boasts over 200 new entries including over 30 new biographies, as well as internet links which point to useful sites for further information, and many additional illustrative examples that clarify terms by showing them in use.Concise and practical, this is an invaluable work of reference for students and professionals in fields related to statistics, and a clear introduction to the subject for the general reader.

Table of Contents:
PREFACE; A-Z DICTIONARY OF STATISTICS; APPENDICES; Statistical Notation; Mathematical Notation; Greek Letters; Cumulative Probabilities for the Bionomial Distribution; Cumulative Probabilities for the Poisson Distribution; Upper-Tail Percentage Points for the Standard Normal Distribution; The Standard Normal Distribution Function; Percentage Points for the t-Distribution; Percentage Points for the F-Distribution; Percentage Points for the Chi-Squared Distribution; Critical Values for Spearman's Rank Correlation Coefficient; Critical Values for Kendall; Critical Values for the Product-Moment Correlation Coefficient, r; Pseudo-Random Numbers; Selected Landmarks in the Development of Statistics; Further Reference; Useful websites

About the Author :
Graham Upton is Professor of Statistics and head of the Mathematical Department at the University of Essex. He is a graduate of Leicester and Birmingham Universities and lectured at the University of Newcastle upon Tyne for five years before moving to Essex. He has given lecture courses at the Universities of Dokkyo (Tokyo), Grenoble, Michigan, and ITAM (Mexico). Dr Upton is the author of over 80 papers and five books, including Understanding Statistics with Ian Cook, (Oxford, 1996), and Introducing Statistics (Oxford, 1998), also with Ian Cook. Ian Cook is a graduate of the universities of Cambridge, London, and Hull (where he was a lecturer in mathematics). He moved to Essex as a Senior Lecturer in 1964, taking early retirement in 1985. He has been a Chief Examiner in Mathematics at A Level for 30 years, setting questions in all branches of mathematics and statistics. He acts as a referee for articles in the Mathematical Gazette and Teaching Statistics. He is co-author with Graham Upton of Understanding Statistics, and Introducing Statistics.


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Product Details
  • ISBN-13: 9780198614319
  • Publisher: Oxford University Press
  • Publisher Imprint: Oxford University Press
  • Edition: Revised edition
  • Returnable: N
  • ISBN-10: 0198614314
  • Publisher Date: 01 Oct 2006
  • Binding: Paperback
  • Language: English


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