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008 120829s2011 enka sb 001 0 eng d
010 _z2011-013225
020 _z9780470094822 (hardback)
020 _z9780470094846 (oBook)
020 _z9781119977711 (ePub)
020 _z9781119977728 (Mobi)
020 _z9780470094839 (e-book)
035 _a(OCoLC)754714896
035 _a(CaPaEBR)ebr10488505
039 9 _y201208291107
_zwilmina
040 _aCaPaEBR
_cCaPaEBR
050 1 4 _aQA276.8
_b.M55 2011eb
082 0 4 _a519.5/44
_222
100 1 _aMillar, R. B.
_q(Russell B.)
245 1 0 _aMaximum likelihood estimation and inference
_h[electronic resource] :
_bwith examples in R, SAS, and ADMB /
_cRussell B. Millar.
260 _aChichester, Sussex, U.K. ;
_aHoboken, N.J. :
_bWiley,
_c2011.
300 _axvi, 357 p. :
_bill.
440 0 _aStatistics in practice
_924053
504 _aIncludes bibliographical references and index.
505 0 _apt. 1. Preliminaries -- pt. 2. Pragmatics -- pt. 3. Theoretical foundations.
520 _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"--
_cProvided by publisher.
533 _aElectronic reproduction.
_bPalo Alto, Calif. :
_cebrary,
_d2011.
_nAvailable via World Wide Web.
_nAccess may be limited to ebrary affiliated libraries.
650 0 _aEstimation theory.
_99766
650 0 _aChance
_xMathematical models.
655 7 _aElectronic books.
_2local
710 2 _aebrary, Inc.
_925628
856 4 0 _uhttp://ezproxy.taylors.edu.my/login?url=http://site.ebrary.com/lib/taylorscollege/Doc?id=10488505
_zAn electronic book accessible through the World Wide Web; click to view
999 _c148164
_d148164