An invaluable dictionary of jargon-free language consisting of over 2,300 statistical terms.
This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.
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Summary
An invaluable dictionary of jargon-free language consisting of over 2,300 statistical terms.
This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.
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.
Critic Reviews
“"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”
"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
About the Author
Graham Upton, Professor in Statistics, University of Essex, and Ian Cook, Formerly Senior Lecturer, the University of Essex
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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