01377cam a22002054a 4500008004100000020001800041020001500059040000800074050002500082100001800107245010700125260004500232300001900277490002700296505001700323520059000340520018500930650002301115650003301138110325s2011    enka     b    001 0 eng    a9780470094822  a0470094826  aSDU00aQA276.8bM645 M 20111 aMillar, R. B.10aMaximum likelihood estimation and inference :bwith examples in R, SAS, and ADMB /cRussell B. Millar.  aChichester, West Sussex :bWiley,c2011.  a357 p. :bill.1 aStatistics in practice  aHKBU Library  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"--  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"-- 0aEstimation theory. 0aChancexMathematical models.