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Author Young, G. A. (G. Alastair)

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

Published Cambridge, UK ; New York : Cambridge University Press, 2005.


Location Call No. Status
 UniM Bund  519.54 YOUN {Bund89 20200519}    AVAILABLE
Physical description x, 225 pages ; 27 cm.
Series Cambridge series in statistical and probabilistic mathematics.
Cambridge series on statistical and probabilistic mathematics.
Bibliography Includes bibliographical references (pages [218]-222) and index.
Contents 1. Introduction -- 2. Decision theory -- 3. Bayesian methods -- 4. Hypothesis testing -- 5. Special models -- 6. Sufficiency and completeness -- 7. Two-sided tests and conditional inference -- 8. Likelihood theory -- 9. Higher-order theory -- 10. Predictive inference -- 11. Bootstrap methods.
Summary "Written in an informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on modern developments in statistical theory, including: contemporary 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." "Based to a large extent on lectures given at the University of Cambridge over a number of years, the material has been polished by student feedback. Some prior knowledge of probability is assumed, while some previous knowledge of the objectives and main approaches to statistical inference would be helpful but is not essential."--BOOK JACKET.
Other author Smith, Richard L., 1953-
Subject Mathematical statistics.
Standard Number 9780521839718 (hbk.)
ISBN 0521839718 (hbk.)