Synopses & Reviews
Fully revised and updated, this authoritative reference tool covers a broad range of statistical terms in a clear and jargon-free style. Written by authorities in the field, this dictionary provides concise definitions of all the terms likely to be encountered by students of statistics, and anyone who comes into contact with statistical terms will find this dictionary an indispensable source of reference. The entries are also generously illustrated with useful figures and diagrams. Appendices feature a historical calendar of important statistical events, and tables of statistical and mathematical notation. As the most up-to-date dictionary of its kind available, A Dictionary of Statistics is essential for anyone needing a statistics reference tool.
About the Author
Graham Upton is Reader in 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, Grenoble, and Michegan.
Dr Upton is the author of over 70 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 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.
Table of Contents
Preface
A-Z Dictionary of Statistics
Appendices
I. Statistical Notation
II. Mathematical Notation
III. Greek Letters
IV. Cumulative Probabilities for the Bionomial Distribution
V. Cumulative Probabilities for the Poisson Distribution
VI. Upper-Tail Percentage Points for the Standard Normal Distribution
VII. The Standard Normal Distribution Function
VIII. Percentage Points for the t-Distribution
IX. Percentage Points for the F-Distribution
X. Percentage Points for the Chi-Squared Distribution
XI. Critical Values for Spearman's Rank Correlation Coefficient
XII. Critical Values for Kendall
XIII. Critical Values for the Product-Moment Correlation Coefficient, r
XIV. Pseudo-Random Numbers
XV. Selected Landmarks in the Development of Statistics
XVI. Further Reference