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A Dictionary of Statistics ­3e
Oxford Quick Reference

Rating
Format
Paperback, 496 pages
Published
United Kingdom, 1 May 2014

This wide-ranging, jargon-free dictionary contains over 2,300 entries on all aspects of statistics, including terms used in computing, mathematics, and probability. It also includes biographical information on over 200 key figures in the field and coverage of statistical journals and societies. While embracing the whole multi-disciplinary spectrum of this complex subject, information is presented in a clear and practical manner. This edition features recommended web links for many entries, accessible via the Dictionary of Statistics website, which provide valuable extra information. This edition features expanded coverage of applied statistics. Entries are generously illustrated with 130 useful figures and diagrams, and include worked examples where applicable. Appendices include a historical calendar of important statistical events, lists of statistical and mathematical notation, and statistical tables. It is an invaluable dictionary for statistics students and professionals from a wide range of disciplines, including economics, politics, market research, medicine, psychology, pharmaceuticals, and mathematics, and provides a clear introduction to the subject for the general reader.Readership: Students of statistics and of disciplines featuring statistical material, such as mathematics, the social sciences, medicine, agriculture, market research, and machine learning. The book is also relevant to business professionals, and for those in industries such as market research, economics, and pharmaceuticals.


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Product Description

This wide-ranging, jargon-free dictionary contains over 2,300 entries on all aspects of statistics, including terms used in computing, mathematics, and probability. It also includes biographical information on over 200 key figures in the field and coverage of statistical journals and societies. While embracing the whole multi-disciplinary spectrum of this complex subject, information is presented in a clear and practical manner. This edition features recommended web links for many entries, accessible via the Dictionary of Statistics website, which provide valuable extra information. This edition features expanded coverage of applied statistics. Entries are generously illustrated with 130 useful figures and diagrams, and include worked examples where applicable. Appendices include a historical calendar of important statistical events, lists of statistical and mathematical notation, and statistical tables. It is an invaluable dictionary for statistics students and professionals from a wide range of disciplines, including economics, politics, market research, medicine, psychology, pharmaceuticals, and mathematics, and provides a clear introduction to the subject for the general reader.Readership: Students of statistics and of disciplines featuring statistical material, such as mathematics, the social sciences, medicine, agriculture, market research, and machine learning. The book is also relevant to business professionals, and for those in industries such as market research, economics, and pharmaceuticals.

Product Details
EAN
9780199679188
ISBN
0199679185
Other Information
130 illustrations
Dimensions
19.3 x 12.7 x 3.1 centimeters (0.32 kg)

Table of Contents

Preface
Abbreviations in biographies
Dictionary
Appendices
Statistical Notation
Mathematical Notation
Greek Letters
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
Pseudo-Random Numbers
Selected Landmarks in the Development of Statistics
Honours and Awards
Further Reference

About the Author

Graham Upton, Professor in Statistics, University of Essex, and Ian Cook, Formerly Senior Lecturer, the University of Essex

Reviews

"this gem of statistical terms is highly recommended to users of statistics at all levels - Significance (the magazine of the Royal Statistical Society), June 05

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