Essentials of statistical inference : G.A. Young, R.L. Smith.

Essentials of statistical inference : G.A. Young, R.L. Smith.

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Bibliographic Details
Author / Creator:	Young, G. A. (G. Alastair)
Imprint:	Cambridge, UK ; New York : Cambridge University Press, 2005.
Description:	1 online resource (x, 225 pages)
Language:	English
Series:	Cambridge series in statistical and probabilistic mathematics ; [16] Cambridge series on statistical and probabilistic mathematics ; 16.
Subject:	Mathematical statistics. Probabilities. Mathematical statistics. Probabilities. Electronic book.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11811860

Hidden Bibliographic Details
Other authors / contributors:	Smith, Richard L., 1953-
ISBN:	0511126166 9780511126161 0511124023 9780511124020 0521839718 9780521839716 9780511755392 0511755392 9780511199646 0511199643 1107713749 9781107713741 0511567243 9780511567247 0511125305 9780511125300
Digital file characteristics:	data file
Notes:	Series numbering from publisher website. Includes bibliographical references and index. English.
Summary:	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.
Other form:	Print version: Young, G.A. (G. Alastair). Essentials of statistical inference. Cambridge, UK ; New York : Cambridge University Press, 2005 0521839718
Standard no.:	9780521839716

Table of Contents:

Decision theory
Beyesian methods
Hypothesis testing
Special models
Sufficiency and completeness
Two-sided tests and conditional inference
Likelihood theory
Higher-order theory
Predictive inference
Bootstrap methods.