Essentials of Statistical Inference (9780521839716)

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 the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.

Product details

• Format Hardback | 236 pages
• Dimensions 178 x 254 x 14mm | 630g
• Publication date 12 Jan 2011
• Publisher CAMBRIDGE UNIVERSITY PRESS
• Publication City/Country Cambridge, United Kingdom
• Language English
• Illustrations note Worked examples or Exercises
• ISBN10 0521839718
• ISBN13 9780521839716
• Bestsellers rank 1,967,471

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