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.
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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.
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).
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