This wide-ranging, jargon-free dictionary contains over 1,700 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. The entries are generously illustrated with useful figures and diagrams, and include previously 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 notations.
Fully updated, the Dictionary of Statistics contains over 30 biographies as well as internet links that point to useful sites for further information and study and many additional illustrative examples that clarify terms by showing them in use.
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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.
`Review from previous edition ...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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