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G. A. Young - Essentials of Statistical Inference - 9780521548663 - V9780521548663
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Essentials of Statistical Inference

€ 43.18
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Description for Essentials of Statistical Inference Paperback. This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 236 pages, 92 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 179 x 28. Weight in Grams: 410. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 236 pages, 92 exercises. This 2005 textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PBT. Dimension: 253 x 179 x 28. Weight: 438.
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Cambridge University Press
Number of pages
236
Condition
New
Series
Cambridge Series in Statistical and Probabilistic Mathematics
Number of Pages
236
Place of Publication
Cambridge, United Kingdom
ISBN
9780521548663
SKU
V9780521548663
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About G. A. Young
G. A. Young is Professor of Statistics at Imperial College London. R. L. Smith is Mark L. Reed Distinguished Professor of Statistics at the University of North Carolina, Chapel Hill.

Reviews for Essentials of Statistical Inference
'This is a delightful book! It gives a well-written exposure to inference issues in statistics, very suitable for a first-year graduate course … The authors present the material in a very good pedagogical manner. The examples are excellent, and the exercises are very instructive … very much up to date and includes recent developments in the field.' MAA Reviews 'This ... Read more

Goodreads reviews for Essentials of Statistical Inference


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