Bayesian statistics directed towards mainstream statistics. How to infer scientific, medical, and social conclusions from numerical data.
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Paperback. Zustand: NF. Reprint. Paperback in Near Fine condition. Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 5. 6.69 X 0.79 X 9.6 inches. 348 pages. Quick shipping, excellent customer service. All books carefully packaged in boxes and ship with tracking information. Artikel-Nr. 68987
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Anbieter: Stella & Rose's Books, PBFA, Tintern, MON, Vereinigtes Königreich
Softcover. Zustand: Very Good. No Jacket. 2001. Almost very good condition. Cambridge Series in Statistical and Probabilistic Mathematics. Contains numerous worked examples, self-study exercises, and practical applications. Essential reading for final-year undergraduates, Masters-degree and graduate students, statisticians, and other interdisciplinary researchers wishing to develop good-quality conclusions from their data and to pursue the notion of scientific truth. Blue cardwraps. Reprint. Cover edges rubbed and worn, tiny split to front spine edge. A few light creases and marks to covers. Vertical edge of text block stained. Front hinge pulled but binding tight. Possibly some infrequent annotation not noticed on first inspection. Packaged with care and promptly dispatched! Artikel-Nr. 1821085
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Zustand: New. Bayesian statistics directed towards mainstream statistics. How to infer scientific, medical, and social conclusions from numerical data. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 348 pages, 69 b/w illus. 27 tables 150 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 178 x 253 x 22. Weight in Grams: 630. . 2009. Illustrated. paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521004145
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unusual in presenting Bayesian statistics with a practical flavor and an emphasis on mainstream statistics, showing how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many statistical methods, not readily available elsewhere. A first chapter on Fisherian methods, together with a strong overall emphasis on likelihood, makes the text suitable for mainstream statistics courses whose instructors wish to follow mixed or comparative philosophies. The other chapters contain important sections relating to many areas of statistics such as the linear model, categorical data analysis, time series and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number of practical examples, worked examples, and exercises. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers. Artikel-Nr. 9780521004145
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