eBook - PDF

Essentials of Statistical Inference

Name: Essentials of Statistical Inference
Author: G. A. Young,R. L. Smith

G. A. Young,

R. L. Smith,

English
PDF
Available on iOS & Android

eBook - PDF

Essentials of Statistical Inference

G. A. Young,

R. L. Smith,

About this book

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.

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Yes, you can access Essentials of Statistical Inference by G. A. Young,R. L. Smith in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.