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Essentials of Statistical Inference.

Young, G. A.

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Essentials of Statistical Inference.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essentials of Statistical Inference./
作者:	Young, G. A.
其他作者:	Gill, R.
出版者:	Cambridge :Cambridge University Press, : 2005.,
面頁冊數:	237 p.
內容註:	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
標題:	Mathematical statistics. -
電子資源:	http://dx.doi.org/10.1017/CBO9780511755392Click 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:

516858
Mathematical statistics.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA276.Y68 2005eb

Dewey Class. No.: 519.5

Essentials of Statistical Inference.
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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.
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