Bayesian statistics directed towards mainstream statistics. How to infer scientific, medical, and social conclusions from numerical data.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
'... challenging and worthwhile ... this book is a very welcome and original contribution to the literature on Bayesian statistics.' J. V. Zidek, ISI Short Book Reviews
'The book makes interesting reading and the breadth of ideas tackled by the authors is enormous ... deserves a place in the university library as well as in the personal libraries of researchers who are interested in the Bayesian approach.' Carmen Fernández, The Statistician
'The book is highly recommended as a well written intermediate book on some modern topics of Bayesian analysis.' H. K. van Dijk, Niew Archief voor Wiskunde
'The explanations stated in the book are very clear, the detailed computations, and the particular way of describing problems, theorems and applications in this book make it useful into only for statisticians but also for other researchers who are confronted with problems of data analysis and who are not primarily familiar with statistical methods.' Monatshefte für Mathematik
'A very readable and interesting book.' Indian Journal of Statistics
Describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students as well as statistical and interdisciplinary researchers. It is unusual in presenting Bayesian statistics with an emphasis on mainstream statistics, showing how to infer scientific, medical, and social conclusions from numerical data.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_440597204
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Da: Affordable Collectibles, Columbia, MO, U.S.A.
Paperback. Condizione: Very Good. Light cover wear. No marks or highlights. Codice articolo SKU1012156
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Da: Easton's Books, Inc., Mount Vernon, WA, U.S.A.
Paperback. Condizione: 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. Codice articolo 68987
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Da: Orion Tech, Kingwood, TX, U.S.A.
paperback. Condizione: New. Codice articolo 0521004144-11-34513432
Quantità: 1 disponibili
Da: Stella & Rose's Books, PBFA, Tintern, MON, Regno Unito
Softcover. Condizione: 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! Codice articolo 1821085
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Feb2215580238092
Quantità: Più di 20 disponibili
Da: SHIMEDIA, Orient, NY, U.S.A.
Condizione: New. Satisfaction Guaranteed or your money back. Codice articolo 0521004144
Quantità: 1 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9780521004145
Quantità: Più di 20 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unique 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 new statistical methods, not 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. This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows 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 new statistical methods, not available elsewhere. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521004145
Quantità: 1 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. reprint edition. 348 pages. 10.00x7.00x0.75 inches. In Stock. This item is printed on demand. Codice articolo __0521004144
Quantità: 1 disponibili