000 03297cam a22004694a 4500
001 7313
003 BD-DhEWU
005 20180129121018.0
008 131231s2008 njua g b 001 0 eng d
010 _a 2007017908
020 _a9780471201700 (cloth)
020 _a0471201707 (cloth)
035 _a(OCoLC)ocn137325058
035 _a(BD-DhEWU)7313
040 _aDLC
_cDLC
_dBTCTA
_dBAKER
_dYDXCP
_dC#P
_dDLC
_dBD-DhEWU
_beng
041 _aeng
050 0 0 _aQA276.8
_b.M394 2008
082 0 4 _a519.544 MCE
_222
_b2008
100 1 _aMcLachlan, Geoffrey J.,
_d1946-
_92770
245 1 4 _aThe EM algorithm and extensions /
_cGeoffrey J. McLachlan, Thriyambakam Krishnan.
250 _a2nd ed.
260 _aHoboken, N.J. :
_bWiley-Interscience,
_cc2008.
300 _axxvii, 359 p. :
_bill. ;
_c24 cm.
440 0 _aWiley series in probability and statistics
_92352
500 _aOnline version: McLachlan, Geoffrey J., 1946- EM algorithm and extensions. Hoboken, N.J. : Wiley-Interscience, c2008 (OCoLC)654674444
504 _aIncludes bibliographical references (p. 311-337) and indexes.
505 _aExamples of the EM algorithm -- Basic theory of the EM algorithm -- Standard errors and speeding up convergence -- Extensions of the EM algorithm -- Monte Carlo versions of the EM algorithm -- Some generalizations of the EM algorithm -- Further applications of the EM algorithm.
520 _a"Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented." "The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm."--BOOK JACKET.
526 _aCSE
590 _aTahur Ahmed
650 0 _aExpectation-maximization algorithms.
_92771
650 0 _aEstimation theory.
_92772
650 0 _aMissing observations (Statistics)
_92773
700 1 _aKrishnan, T.
_q(Thriyambakam),
_d1938-
_92774
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/ecip0716/2007017908.html
856 4 2 _3Contributor biographical information
_uhttp://www.loc.gov/catdir/enhancements/fy0814/2007017908-b.html
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0814/2007017908-d.html
856 4 2 _3OCLC
_uhttp://www.worldcat.org/title/em-algorithm-and-extensions/oclc/137325058&referer=brief_results
856 4 2 _3E-book Fulltext
_uhttp://lib.ewubd.edu/ebook/7313
942 _2ddc
_cTEXT
_01
999 _c7313
_d7313
999 _c7313
_d7313