01476cam a22002414a 4500 110325s2011 enka b 001 0 eng 9780470094822 0470094826 SDU QA276.8 M645 M 2011 Millar, R. B. 193313 Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB / Russell B. Millar. Chichester, West Sussex : Wiley, 2011. 357 p. : ill. Statistics in practice 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"-- Estimation theory. Chance Mathematical models. 193314 = C.1 SDU GBE lcc 104024 104024 0 0 lcc 0 QA02768 M645 M2011 0 CGB 284102 SDU SDU GEN3 2025-10-07 2 0 QA276.8 M645 M 2011 1000385074 2025-10-07 00:00:00 C.1 2025-10-07 GBE