Oxford Dictionary of Statistics 3rd Edition (Oxford Paperback Reference)

• Contains over 2,300 jargon-free entries, including expanded coverage of applied statistics
• Many illustrative examples, giving entries a practical context
• Includes over 200 biographies of key figures in statistics
• Web links for many entries, accessible via the Dictionary of Statistics companion website
• Multi-disciplinary coverage: useful to students of many subjects, including statistics, economics, politics, medicine, and mathematics
• Includes appendices of mathematical and statistical notation, and statistical tables

New to this edition

• A greater focus on applied statistics
• Over 130 new entries
• 4 new illustrations

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.