Providing wide-ranging and jargon-free definitions, this dictionary contains over 2,000 A to Z 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. Information is presented in a clear and practical manner and web links, which are listed and regularly updated on a dedicated companion website, provide valuable extra information.
Many entries are illustrated with useful figures and diagrams, and include worked examples where applicable. Useful appendices include a historical calendar of important statistical events, lists of statistical and mathematical notation, and statistical tables.
This 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.
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Graham Upton is Professor of Applied Statistics in the Department of Mathematical Sciences at the University of Essex. A graduate of Leicester and Birmingham Universities, he lectured at the University of Newcastle upon Tyne for five years before joining Essex in 1973. In addition he has given lecture courses at the Universities of Dokkyo (Tokyo), Grenoble, Michigan, and ITAM (Mexico). His more than 100 publications include seven books, four co-authored with Ian Cook and published by Oxford: Understanding Statistics (1996), Introducing Statistics (1998), and Statistics S1 and S2 (2004, 2005). Ian Cook is a graduate of Cambridge and London Universities, and also of Hull, where he was a lecturer in mathematics. He moved to the University of Essex as a Senior Lecturer in 1964, taking early retirement in 1985. Dr Cook has been a Chief Examiner in Mathematics at A Level for 30 years, setting questions in all branches of mathematics and statistics. He is co-author with Graham Upton of Understanding Statistics, Introducing Statistics, and Statistics S1 and S2.
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