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

By: Material type: TextSeries: Publication details: Chichester, West Sussex : Wiley, 2011.Description: 357 p. : illISBN:
  • 9780470094822
  • 0470094826
Subject(s): LOC classification:
  • QA276.8 M645 M 2011
Contents:
HKBU Library
Summary: "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"--Summary: "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"--
Item type: English Books
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
English Books MATRIX Library General Eng/FL.3 General Books QA276.8 M645 M 2011 (Browse shelf(Opens below)) C.1 Available 1000385074
Total holds: 0

HKBU Library

"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"--

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