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Maximum likelihood estimation and in...

Millar, R. B.

Maximum likelihood estimation and inference :with examples in R, SAS, and ADMB /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Maximum likelihood estimation and inference :Russell B. Millar.
其他題名:	with examples in R, SAS, and ADMB /
作者:	Millar, R. B.
出版者:	Chichester, West Sussex :Wiley,2011.
面頁冊數:	xvi, 357 p. :ill. ;24 cm.
標題:	ChanceMathematical models.
電子資源:	http://catalogimages.wiley.com/images/db/jimages/9780470094822.jpg
ISBN:	0470094826 (hardback) :

Maximum likelihood estimation and inference :with examples in R, SAS, and ADMB /
Millar, R. B.

Maximum likelihood estimation and inference :with examples in R, SAS, and ADMB /Russell B. Millar. - Chichester, West Sussex :Wiley,2011. - xvi, 357 p. :ill. ;24 cm. - Statistics in practice. - Statistics in practice..

Includes bibliographical references and index.

"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"--

ISBN: 0470094826 (hardback) :NT$2851

LCCN: 2011013225Subjects--Topical Terms:

562957
Chance
--Mathematical models.

LC Class. No.: QA276.8 / .M55 2011

Dewey Class. No.: 519.5/44

Maximum likelihood estimation and inference :with examples in R, SAS, and ADMB /
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245 1 0 $a Maximum likelihood estimation and inference : $b with examples in R, SAS, and ADMB / $c Russell B. Millar.
260 $a Chichester, West Sussex : $b Wiley, $c 2011.
300 $a xvi, 357 p. : $b ill. ; $c 24 cm.
490 1 $a Statistics in practice
504 $a Includes bibliographical references and index.
520 $a "Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"-- $c Provided by publisher.
520 $a "This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- $c Provided by publisher.
650 0 $a Chance $x Mathematical models. $3 562957
650 0 $a Estimation theory. $3 181864
830 0 $a Statistics in practice. $3 246074
856 4 2 $3 Cover image $u http://catalogimages.wiley.com/images/db/jimages/9780470094822.jpg