東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Handbook of latent variable and related models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of latent variable and related models/ edited by Sik-Yum Lee.{me_controlnum}
other author:	Lee, Sik-Yum.
Published:	Amsterdam ;Elsevier/North-Holland, : 2007.,
Description:	1 online resource (xxii, 435 p.) :ill.
[NT 15003449]:	Preface -- About the Authors -- 1. Covariance Structure Models for Maximal Reliability of Unit-weighted Composites (Peter M. Bentler) -- 2. Advances in Analysis of Mean and Covariance Structure When Data are Incomplete (Mortaza Jamshidian, Matthew Mata) -- 3. Rotation Algorithms: From Beginning to End (Robert I. Jennrich) -- 4. Selection of Manifest Variables (Yutaka Kano) -- 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data (Sik-Yum Lee) -- 6. Local Influence Analysis for Latent Variable Models with Nonignorable Missing Responses (Bin Lu, Xin-Yuan Song, Sik-Yum Lee, Fernand Mac-Moune Lai) -- 7. Goodness-of-fit Measures for Latent Variable Models for Binary Data (D. Mavridis, Irini Moustaki, Martin Knott) -- 8. Bayesian Structural Equation Modeling (Jesus Palomo, David B. Dunson, Ken Bollen) -- 9. The Analysis of Structural Equation Model with Ranking Data using Mx (Wai-Yin Poon) -- 10. Multilevel Structural Equation Modeling (Sophia Rable-Hesketh, Anders Skrondal, Xiaohui Zheng) -- 11. Statistical Inference of Moment Structure (Alexander Shapiro) -- 12. Meta-Analysis and Latent Variables Models for Binary Data (Jian-Qing Shi) -- 13. Analysis of Multisample Structural Equation Models with Applications to Quality of Life Data (Xin-Yuan Song) -- 14. The Set of Feasible Solutions for Reliability and Factor Analysis (Jos M.F. ten Berge, Gregor S�oan) -- 15. Nonlinear Structural Equation Modeling as a Statistical Method (Melanie M. Wall, Yasuo Amemiya) -- 16. Matrix Methods and Their Applications to Factor Analysis (Haruo Yanai, Yoshio Takane) -- 17. Robust Procedures in Structural Equation Modeling (Ke-Hai Yuan, Peter M. Bentler) -- 18. Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models (Hongtu Zhu, Faming Liang, Minggao Gu, Bradley Peterson).
Subject:	Latent structure analysis. -
Online resource:	http://www.sciencedirect.com/science/book/9780444520449
ISBN:	9780444520449

Handbook of latent variable and related models
Handbook of latent variable and related models[electronic resource] /edited by Sik-Yum Lee.{me_controlnum} - 1st ed. - Amsterdam ;Elsevier/North-Holland,2007. - 1 online resource (xxii, 435 p.) :ill. - Handbook of computing and statistics with applications,v. 11871-0301 ;. - Handbook of computing and statistics with applications ;v. 1..

Includes bibliographical references and indexes.

Preface -- About the Authors -- 1. Covariance Structure Models for Maximal Reliability of Unit-weighted Composites (Peter M. Bentler) -- 2. Advances in Analysis of Mean and Covariance Structure When Data are Incomplete (Mortaza Jamshidian, Matthew Mata) -- 3. Rotation Algorithms: From Beginning to End (Robert I. Jennrich) -- 4. Selection of Manifest Variables (Yutaka Kano) -- 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data (Sik-Yum Lee) -- 6. Local Influence Analysis for Latent Variable Models with Nonignorable Missing Responses (Bin Lu, Xin-Yuan Song, Sik-Yum Lee, Fernand Mac-Moune Lai) -- 7. Goodness-of-fit Measures for Latent Variable Models for Binary Data (D. Mavridis, Irini Moustaki, Martin Knott) -- 8. Bayesian Structural Equation Modeling (Jesus Palomo, David B. Dunson, Ken Bollen) -- 9. The Analysis of Structural Equation Model with Ranking Data using Mx (Wai-Yin Poon) -- 10. Multilevel Structural Equation Modeling (Sophia Rable-Hesketh, Anders Skrondal, Xiaohui Zheng) -- 11. Statistical Inference of Moment Structure (Alexander Shapiro) -- 12. Meta-Analysis and Latent Variables Models for Binary Data (Jian-Qing Shi) -- 13. Analysis of Multisample Structural Equation Models with Applications to Quality of Life Data (Xin-Yuan Song) -- 14. The Set of Feasible Solutions for Reliability and Factor Analysis (Jos M.F. ten Berge, Gregor S�oan) -- 15. Nonlinear Structural Equation Modeling as a Statistical Method (Melanie M. Wall, Yasuo Amemiya) -- 16. Matrix Methods and Their Applications to Factor Analysis (Haruo Yanai, Yoshio Takane) -- 17. Robust Procedures in Structural Equation Modeling (Ke-Hai Yuan, Peter M. Bentler) -- 18. Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models (Hongtu Zhu, Faming Liang, Minggao Gu, Bradley Peterson).

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

ISBN: 9780444520449

Source: 116290:116388Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

539434
Latent structure analysis.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA278.6 / .H36 2007eb

Dewey Class. No.: 519.5/35

Handbook of latent variable and related models
LDR:04168cmm 2200433Ia 4500 001 1151197
003 OCoLC
005 20111122090955.0
006 m d
007 cr cn|||||||||
008 120605s2007 ne a ob 001 0 eng d
019 $a 123421530 $a 213332335 $a 213362181 $a 648164352
020 $a 9780444520449
020 $a 0444520449
020 $a 9780080471266 (electronic bk.)
020 $a 0080471269 (electronic bk.)
029 1 $a NZ1 $b 11778236
035 $a (OCoLC)162130471 $z (OCoLC)123421530 $z (OCoLC)213332335 $z (OCoLC)213362181 $z (OCoLC)648164352
035 $a ocn162130471
037 $a 116290:116388 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d OPELS $d OCLCQ $d N$T $d YDXCP $d EBLCP $d OSU $d IDEBK $d E7B $d NRU $d OCLCQ
049 $a TEFA
050 4 $a QA278.6 $b .H36 2007eb
072 7 $a MAT $x 029020 $2 bisacsh
082 0 4 $a 519.5/35 $2 22
084 $a 31.73 $2 bcl
245 0 0 $a Handbook of latent variable and related models $h [electronic resource] / $c edited by Sik-Yum Lee.{me_controlnum}
250 $a 1st ed.
260 $a Amsterdam ; $a Boston : $b Elsevier/North-Holland, $c 2007.
300 $a 1 online resource (xxii, 435 p.) : $b ill.
490 1 $a Handbook of computing and statistics with applications, $x 1871-0301 ; $v v. 1
504 $a Includes bibliographical references and indexes.
505 0 $a Preface -- About the Authors -- 1. Covariance Structure Models for Maximal Reliability of Unit-weighted Composites (Peter M. Bentler) -- 2. Advances in Analysis of Mean and Covariance Structure When Data are Incomplete (Mortaza Jamshidian, Matthew Mata) -- 3. Rotation Algorithms: From Beginning to End (Robert I. Jennrich) -- 4. Selection of Manifest Variables (Yutaka Kano) -- 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data (Sik-Yum Lee) -- 6. Local Influence Analysis for Latent Variable Models with Nonignorable Missing Responses (Bin Lu, Xin-Yuan Song, Sik-Yum Lee, Fernand Mac-Moune Lai) -- 7. Goodness-of-fit Measures for Latent Variable Models for Binary Data (D. Mavridis, Irini Moustaki, Martin Knott) -- 8. Bayesian Structural Equation Modeling (Jesus Palomo, David B. Dunson, Ken Bollen) -- 9. The Analysis of Structural Equation Model with Ranking Data using Mx (Wai-Yin Poon) -- 10. Multilevel Structural Equation Modeling (Sophia Rable-Hesketh, Anders Skrondal, Xiaohui Zheng) -- 11. Statistical Inference of Moment Structure (Alexander Shapiro) -- 12. Meta-Analysis and Latent Variables Models for Binary Data (Jian-Qing Shi) -- 13. Analysis of Multisample Structural Equation Models with Applications to Quality of Life Data (Xin-Yuan Song) -- 14. The Set of Feasible Solutions for Reliability and Factor Analysis (Jos M.F. ten Berge, Gregor S�oan) -- 15. Nonlinear Structural Equation Modeling as a Statistical Method (Melanie M. Wall, Yasuo Amemiya) -- 16. Matrix Methods and Their Applications to Factor Analysis (Haruo Yanai, Yoshio Takane) -- 17. Robust Procedures in Structural Equation Modeling (Ke-Hai Yuan, Peter M. Bentler) -- 18. Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models (Hongtu Zhu, Faming Liang, Minggao Gu, Bradley Peterson).
520 $a This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.
588 $a Description based on print version record.
650 0 $a Latent structure analysis. $3 539434
650 0 $a Latent variables. $3 539435
650 7 $a MATHEMATICS $x Probability & Statistics $x Multivariate Analysis. $2 bisacsh $3 1457451
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Lee, Sik-Yum. $3 1457449
776 0 8 $i Print version: $t Handbook of latent variable and related models. $b 1st ed. $d Amsterdam ; Boston : Elsevier/North-Holland, 2007 $z 9780444520449 $z 0444520449 $w (DLC) 2006052150 $w (OCoLC)73954771
830 0 $a Handbook of computing and statistics with applications ; $v v. 1. $x 1871-0301 $3 1457450
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780444520449
938 $a YBP Library Services $b YANK $n 2551345
938 $a ebrary $b EBRY $n ebr10167114
994 $a C0 $b TEF