Maximum likelihood estimation and inference

with examples in R, SAS, and ADMB

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Last edited by LC Bot
July 26, 2011 | History

Maximum likelihood estimation and inference

with examples in R, SAS, and ADMB

"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"--

"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"--

Publish Date
Publisher
Wiley
Language
English

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Previews available in: English

Book Details


Edition Notes

Includes bibliographical references and index.

Published in
Hoboken, N.J

Classifications

Dewey Decimal Class
519.5/44
Library of Congress
QA276.8 .M55 2011

The Physical Object

Pagination
p. cm.

ID Numbers

Open Library
OL24842341M
Internet Archive
maximumlikelihoo00mill
ISBN 13
9780470094822
LCCN
2011013225

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July 26, 2011 Created by LC Bot import new book