The EM algorithm and extensions (E Book) [Elektronisk resurs] / Geoffrey J. McLachlan, Thriyambakam Krishnan.

By: McLachlan, Geoffrey JContributor(s): Krishnan, T, 1938-Series: Wiley series in probability and statistics: Publisher: Hoboken, N.J. : Wiley-Interscience, c2008Edition: 2nd edDescription: 1 online resource (xxvii, 359 p.) : illISBN: 9780470191613; 9780470191613Subject(s): Estimation theory | Expectation-maximization algorithms | Iteration | MATHEMATICS -- Probability & Statistics -- General | Maximum-Likelihood-Sch�tzung | Missing observations (Statistics) | Unvollkommene InformationGenre/Form: Electronic books.DDC classification: 519.5/44 Online resources: John Wiley | Click here to access online | Click here to access online | Click here to access online | Click here to access online
Contents:
Examples 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.
Summary: This new edition remains the only single source to offer a complete and unified treatment of the theory, methodology, and applications of the EM algorithm. The highly applied area of statistics here outlined involves applications in regression, medical im.
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Item type Current location Home library Collection Call number URL Status Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
NFIC 519.5 (Browse shelf) Link to resource Available MCSEB-1721
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Examples 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.

This new edition remains the only single source to offer a complete and unified treatment of the theory, methodology, and applications of the EM algorithm. The highly applied area of statistics here outlined involves applications in regression, medical im.

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