MARC record from Internet Archive

LEADER: 04551cam 2200745 a 4500
001 ocm71507087
003 OCoLC
005 20200510215900.0
008 060911s2007 enka b 001 0 eng
010 $a 2006029955
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020 $a9780470024232$q(acid-free paper)
020 $a0470024232$q(acid-free paper)
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035 $a(OCoLC)71507087
050 00 $aQA278.3$b.L44 2007
082 00 $a519.5/3$222
084 $a31.73$2bcl
100 1 $aLee, Sik-Yum.
245 10 $aStructural equation modeling :$ba Bayesian approach /$cSik-Yum Lee.
260 $aChichester, England ;$aHoboken, NJ :$bWiley,$c℗♭2007.
300 $axv, 432 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aWiley series in probability and statistics
504 $aIncludes bibliographical references and index.
505 0 $aSome basic structural equation models -- Covariance structure analysis -- Bayesian estimation of structural equation models -- Model comparison and model checking -- Structural equation models with continuous and ordered categorical variables -- Structural equation models with dichotomous variables -- Nonlinear structural equation models -- Two-level nonlinear structural equation models -- Multisample analysis of structural equation models -- Finite mixtures in structural equation models -- Structural equation models with missing data -- Structural equation models with exponential family of distributions.
520 $aStructural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject's recent advances.
650 0 $aStructural equation modeling.
650 0 $aBayesian statistical decision theory.
650 02 $aBayes Theorem.
650 7 $aStatistique.$2eclas
650 7 $aMe thodes statistiques.$2eclas
650 7 $aMode les mathe matiques.$2eclas
650 7 $aSciences sociales.$2eclas
650 7 $aBayesian statistical decision theory.$2fast$0(OCoLC)fst00829019
650 7 $aStructural equation modeling.$2fast$0(OCoLC)fst01738928
650 17 $aStructurele vergelijkingen.$2gtt
650 17 $aMethode van Bayes.$2gtt
650 7 $aStatistisk teori.$2sao
830 0 $aWiley series in probability and statistics.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/ecip071/2006029955.html
856 41 $3Table of contents$uhttp://swbplus.bsz-bw.de/bsz265433053inh.htm
856 41 $3Table of contents$uhttp://www.gbv.de/dms/bsz/toc/bsz265433053inh.pdf
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/enhancements/fy0740/2006029955-b.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0740/2006029955-d.html
856 4 $3Cover$uhttp://swbplus.bsz-bw.de/bsz265433053cov.htm$v20090317135156
856 4 $3Verlagsinformation$uhttp://swbplus.bsz-bw.de/bsz265433053vlg.htm
938 $aBaker & Taylor$bBKTY$c125.00$d125.00$i0470024739$n0006979293$sactive
938 $aBaker & Taylor$bBKTY$c130.00$d130.00$i0470024232$n0006954586$sactive
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938 $aBaker and Taylor$bBTCP$n2006029955
938 $aYBP Library Services$bYANK$n100446337
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948 $hHELD BY P4A - 284 OTHER HOLDINGS