Essentials Of Statistical Inference

Author: G. A. Young
Editor: Cambridge University Press
ISBN: 9780521839716
File Size: 78,38 MB
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Concise account of main approaches; first textbook to synthesize modern computation with basic theory.
Essentials of Statistical Inference
Language: un
Pages: 225
Authors: G. A. Young, George Albert Young, Thomas A. Severini, R. L. Smith, Robert Leslie Smith, R. L. (University of North Carolina Smith, Chapel Hill)
Categories: Mathematics
Type: BOOK - Published: 2005-07-25 - Publisher: Cambridge University Press

Concise account of main approaches; first textbook to synthesize modern computation with basic theory.
Essential Statistical Inference
Language: un
Pages: 568
Authors: Dennis D. Boos, L A Stefanski
Categories: Mathematics
Type: BOOK - Published: 2013-02-06 - Publisher: Springer Science & Business Media

‚ÄčThis book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text,
Essentials of Inferential Statistics
Language: un
Pages: 286
Authors: Malcolm O. Asadoorian, Demetrius Kantarelis
Categories: Mathematics
Type: BOOK - Published: 2005 - Publisher: University Press of America

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles
Essentials of Statistical Inference
Language: un
Pages:
Authors: G. Alastair Young
Categories: Mathematical statistics
Type: BOOK - Published: 2010 - Publisher:

Books about Essentials of Statistical Inference
Essentials of Statistical Inference
Language: un
Pages: 236
Authors: G. A. Young, R. L. Smith
Categories: Mathematics
Type: BOOK - Published: 2005-07-25 - Publisher: Cambridge University Press

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