Essentials of Statistical Inference ebook Young, G. A., Smith, R. L. Diesel eBooks

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Home > Education > Mathematics > Essentials of Statistical Inference-eBook

Essentials of Statistical Inference

Young, G. A., Smith, R. L.

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This engaging textbook presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers in a concise treatment both basic mathematical theory and more advanced material, including such contemporary topics as Bayesian computation, 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. 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.

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Title of ebook: Essentials of Statistical Inference
ISBN: 9780511124020
Publisher: Cambridge University Press
Internet download file size: 1837 kb
Pages: 236
Released online for download: 07-31-2005
Author of eBook: Young, G. A.
Author of eBook: Smith, R. L.