03686cam a2200505Ka 4500 ocn746326250 OCoLC 20171116110455.0 m o d cr cn||||||||| 110811s2011 nju ob 001 0 eng d 9780470094846 (electronic bk.) 0470094842 (electronic bk.) AU@ 000052899564 DKDLA 820120-katalog:000572625 NZ1 13799192 NZ1 15341340 DEBBG BV043393404 (OCoLC)746326250 10.1002/9780470094846 Wiley InterScience http://www3.interscience.wiley.com DG1 eng DG1 YDXCP OCLCQ OCLCO OCLCQ DEBBG MAIN QA276.8 .M55 2011 519.5/44 22 Millar, R. B. (Russell B.) Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB / Russell B. Millar. [electronic resource] Hoboken, N.J. : Wiley, ©2011. pages text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Front Matter -- Preliminaries. A Taste of Likelihood -- Essential Concepts and Iid Examples -- Pragmatics. Hypothesis Tests and Confidence Intervals or Regions -- What you Really need to Know -- Maximizing the Likelihood -- Some Widely Used Applications of Maximum Likelihood -- Generalized Linear Models and Extensions -- Quasi-Likelihood and Generalized Estimating Equations -- ML Inference in the Presence of Incidental Parameters -- Latent Variable Models -- Theoretical Foundations. Cram̌r-Rao Inequality and Fisher Information -- Asymptotic Theory and Approximate Normality -- Tools of the Trade -- Fundamental Paradigms and Principles of Inference -- Miscellanea -- Appendix: Partial Solutions to Selected Exercises -- Bibliography -- Index -- Statistics in Practice. "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"-- Provided by publisher. "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"-- Provided by publisher. Electronic reproduction. Hoboken, N.J. : Wiley InterScience, 2011. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Aug. 2, 2011). Access may be restricted to users at subscribing institutions. Estimation theory. Chance Mathematical models. MATHEMATICS Probability & Statistics General. bisacsh Electronic books. Wiley InterScience (Online service) Print version: Millar, R.B. (Russell B.). Maximum likelihood estimation and inference. Hoboken, N.J. : Wiley, ©2011 9780470094822 (DLC) 2011013225 (OCoLC)690090037 http://onlinelibrary.wiley.com/book/10.1002/9780470094846 Wiley Online Library ddc BK 205213 205213