02685nam 2200661 a 450 991013322320332120230725052512.01-119-97771-11-283-20291-397866132029180-470-09484-20-470-09483-4(CKB)3400000000015943(EBL)697473(OCoLC)754714896(SSID)ssj0000529379(PQKBManifestationID)12192669(PQKBTitleCode)TC0000529379(PQKBWorkID)10556796(PQKB)10672740(MiAaPQ)EBC697473(Au-PeEL)EBL697473(CaPaEBR)ebr10488505(CaONFJC)MIL320291(EXLCZ)99340000000001594320110325d2011 uy 0engur|n|---|||||txtccrMaximum likelihood estimation and inference[electronic resource] with examples in R, SAS, and ADMB /Russell B. MillarChichester, Sussex, U.K. ;Hoboken, N.J. Wiley20111 online resource (378 p.)Statistics in practiceDescription based upon print version of record.0-470-09482-6 Includes bibliographical references and index.pt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations."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.Statistics in practice.Estimation theoryChanceMathematical modelsR (Computer program language)Estimation theory.ChanceMathematical models.R (Computer program language).519.5/44MAT029000bisacshSK 830rvkMillar R. B(Russell B.)928072MiAaPQMiAaPQMiAaPQBOOK9910133223203321Maximum likelihood estimation and inference2085653UNINA