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001 | ocn798536286 | ||
003 | OCoLC | ||
005 | 20170612141628.0 | ||
006 | m o d | ||
007 | cr bn||||a|cuu | ||
008 | 120709s2012 enka ob 001 0 eng d | ||
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019 | _a844726423 | ||
020 |
_a9781118358887 _q(electronic bk.) |
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020 |
_a1118358880 _q(electronic bk.) |
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020 | _a9781118359433 | ||
020 | _a1118359437 | ||
020 | _z9780470669525 | ||
020 |
_z0470669527 _q(hardback) |
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050 | 4 | _aQA278.3 | |
082 | 0 | 4 |
_a519.5/3 _a519.53 |
084 |
_aMAT029000 _2bisacsh |
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049 | _aMAIN | ||
100 | 1 | _aSong, Xin-Yuan. | |
245 | 1 | 0 |
_aBasic and advanced Bayesian structural equation modeling : _bwith applications in the medical and behavioral sciences / _cXin-Yuan Song and Sik-Yum Lee. |
260 |
_aChichester, West Sussex : _bJohn Wiley & Sons, _c2012. |
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300 |
_a1 online resource (xvii, 367 pages) : _billustrations. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 | _aWiley series in probability and statistics | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aIntroduction -- Basic concepts and applications of structural equation models -- Bayesian methods for estimating structural equation models -- Bayesian model comparison and model checking -- Practical structural equation models -- Structural equation models with hierarchical and multisample data -- Mixture structural equation models -- Structural equation modeling for latent curve models -- Longitudinal structural equation models -- Semiparametric structural equation models with continuous variables -- Structural equation models with mixed continuous and unordered categorical variables -- Structural equation models with nonparametric structural equations -- Transformation structural equation models -- Conclusion. | |
520 | _a"This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing."--Publisher's website. | ||
588 | 0 | _aPrint version record. | |
650 | 0 | _aBayesian statistical decision theory. | |
650 | 0 | _aStructural equation modeling. | |
650 | 4 | _aMathematics. | |
650 | 7 |
_aBayesian statistical decision theory. _2fast _0(OCoLC)fst00829019 |
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650 | 7 |
_aStructural equation modeling. _2fast _0(OCoLC)fst01738928 |
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655 | 4 | _aElectronic books. | |
700 | 1 | _aLee, Sik-Yum. | |
776 | 0 | 8 |
_iPrint version: _aSong, Xin-Yuan. _tBasic and advanced Bayesian structural equation modeling. _dChichester, West Sussex : John Wiley, 2012 _z9780470669525 _w(DLC) 2012012199 _w(OCoLC)853461614 |
830 | 0 | _aWiley series in probability and statistics. | |
856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118358887 _zWiley Online Library |
938 |
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938 |
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938 |
_aYBP Library Services _bYANK _n9571143 |
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994 |
_a92 _bDG1 |
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999 |
_c206017 _d206017 |