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Essentials of Statistical Inference.

Ebooks Corporation.

Essentials of Statistical Inference.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Essentials of Statistical Inference.
Author:	Young, G. A.
other author:	Gill, R.
Published:	Cambridge :Cambridge University Press,2005.
Description:	237 p.
Subject:	Mathematical statistics.
Online resource:	Click here to view book
ISBN:	9780511755392 (electronic bk.)

Essentials of Statistical Inference.
Young, G. A.

Essentials of Statistical Inference.[electronic resource]. - Cambridge :Cambridge University Press,2005. - 237 p.

Cover; Half-title; Series title; Title; Copyright; Contents; Preface; 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; Bibliography; Index

Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511755392 (electronic bk.)Subjects--Topical Terms:

181877
Mathematical statistics.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA276.Y68 2005eb

Dewey Class. No.: 519.5

Essentials of Statistical Inference.
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100 1 $a Young, G. A. $3 322644
245 1 0 $a Essentials of Statistical Inference. $h [electronic resource].
260 $a Cambridge : $b Cambridge University Press, $c 2005.
300 $a 237 p.
505 0 $a Cover; Half-title; Series title; Title; Copyright; Contents; Preface; 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; Bibliography; Index
520 $a Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Mathematical statistics. $3 181877
655 7 $a Electronic books. $2 local. $3 214472
700 1 $a Gill, R. $3 322638
700 1 $a Ripley, B. D. $3 322639
700 1 $a Ross, S. $3 322640
700 1 $a Silverman, B. $3 322641
700 1 $a Smith, R. L. $3 322642
700 1 $a Stein, M. $3 322643
710 2 $a Ebooks Corporation. $3 322111
776 1 $z 9780521839716
856 4 0 $z Click here to view book $u http://dx.doi.org/10.1017/CBO9780511755392