X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Medium
Language
Region
Library
Years
Person/Organisation
Subjects(RVK)
Keywords
Access
  • 1
    Online Resource
    Online Resource
    Handbook of latent variable and related models (2007)
    Amsterdam ; Boston : Elsevier/North-Holland
    Details
    UID:
    b3kat_BV036962177
    Format: 1 Online-Ressource (xxii, 435 p.) , ill , 25 cm
    Edition: 1st ed
    Edition: Online-Ausgabe Elsevier e-book collection on ScienceDirect Sonstige Standardnummer des Gesamttitels: 041169-3
    ISBN: 0444520449 , 9780444520449
    Series Statement: Handbook of computing and statistics with applications v. 1
    Note: Includes bibliographical references and indexes
    Additional Edition: Reproduktion von Handbook of latent variable and related models 2007
    Language: English
    Subjects: Mathematics
    RVK:
    SK 830
    Keywords: Multivariate Analyse ; Statistik ; Datenverarbeitung
    URL: Volltext
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    HWR Berlin
    EUV Frankfurt
    TH Brandenburg
    HTW Berlin
    TH Wildau
    BTU Cottbus
    BHT
  • 2
    Online Resource
    Online Resource
    Handbook of latent variable and related models / (2007)
    Amsterdam ; : Elsevier,
    Details
    UID:
    almahu_9947367657102882
    Format: 1 online resource (458 p.)
    Edition: 1st ed.
    ISBN: 1-280-96270-4 , 9786610962709 , 0-08-047126-9
    Series Statement: Handbook of computing and statistics with applications ; v. 1
    Content: 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.
    Note: Description based upon print version of record. , Front cover; Handbook of Latent Variable and Related Models; Copyright page; Handbook Series on Computing and Statistics with Applications; Preface; About the Authors; Contributors; Table of contents; Chapter 1.Covariance Structure Models for Maximal Reliability of Unit-Weighted Composites; 1. Proposed identification condition for factor models; 2. Reliability based on proposed parameterization; 3. Properties of the coefficient; 4. Illustration with exploratory factor analysis; 5. Reliability with general latent variable models; 6. Dimension-free and greatest lower bound reliability , 7. Reliability of weighted composites8. Selection of weights for maximal reliability; 9. Conclusions; Acknowledgements; References; Chapter 2. Advances in Analysis of Mean and Covariance Structure when Data are Incomplete; 1. Introduction; 2. Missing data mechanism; 3. Methods for handling missing data; 4. Simulation studies; 5. Sensitivity analysis for missing data mechanism; 6. SEM software for incomplete data; References; Chapter 3. Rotation Algorithms: From Beginning to End; 1. Introduction; 2. Factor analysis; 3. A parameterization for Lambda and Phi; 4. Reference structures , 5. Thurstone's graphical rotation method6. Early analytic oblique rotation methods; 7. Pairwise algorithms; 8. Analytic rotation methods: Orthogonal; 9. Direct analytic methods: Oblique; 10. Discussion; References; Chapter 4. Selection of Manifest Variables; 1. Introduction; 2. Manifest variable selection in factor analysis; 3. SEFA and examples with empirical data; 4. Variable selection with a model fit and reliability analysis; 5. Conclusion and final remarks; Acknowledgements; References; Chapter 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data; 1. Introduction , 2. Model description3. Bayesian analysis of the models; 4. Simulation studies; 5. An illustrative example; 6. Analysis via WinBUGS; 7. Discussion; Acknowledgements; Appendix A. The permutation sampler; Appendix B. Searching for identifiability constraints; Appendix C. Manifest variables in the ICPSR example; References; Chapter 6. Local Influence Analysis for Latent Variable Models with Non-Ignorable Missing Responses; 1. Introduction; 2. Local influence of latent variable models with non-ignorable missing data; 3. Normal mixed effects model; 4. Generalized linear mixed model; 5. Conclusion , Appendix AAppendix B; Appendix C; References; Chapter 7. Goodness-of-Fit Measures for Latent Variable Models for Binary Data; 1. Introduction; 2. Latent variable models for binary responses; 3. Goodness-of-fit tests for latent variable models for binary data; 4. Limited information statistics; 5. Test based on the log-odds ratio; 6. Simulations; 7. Conclusion; Acknowledgements; References; Chapter 8 Bayesian Structural Equation Modeling; 1. Introduction; 2. Structural equation models; 3. Bayesian approach; 4. Democratization and industrialization application; 5. Discussion and future research , Appendix A. Prior specifications , English
    Additional Edition: ISBN 0-444-52044-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
    FU Berlin
    Charité
  • 3
    Online Resource
    Online Resource
    Handbook of latent variable and related models (2007)
    Amsterdam [u.a.] : Elsevier
    Details
    UID:
    gbv_1645856364
    Format: Online Ressource (xxii, 435 p.) , illustrations.
    Edition: 1st ed.
    Edition: Online-Ressource ScienceDirect
    ISBN: 9780444520449 , 0444520449 , 9780080471266 , 0080471269
    Series Statement: Handbook of computing and statistics with applications v. 1
    Content: 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 Söan) -- 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)
    Content: 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
    Note: Includes bibliographical references and indexes. - Description based on print version record
    Additional Edition: ISBN 0444520449
    Additional Edition: Druckausg. Handbook of latent variable and related models Amsterdam : Elsevier, 2008 ISBN 9780444520449
    Language: English
    Subjects: Mathematics
    RVK:
    SK 830
    Keywords: Datenverarbeitung ; Multivariate Analyse ; Statistik ; Electronic books ; Electronic books
    DOI: 10.1016/B978-0-444-52044-9.X5000-9
    URL: https://doi.org/10.1016/B978-0-444-52044-9.X5000-9
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: lizenzpflichtig
    URL: Inhaltstext
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Open Access Request
    Stabi Berlin
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    Handbook of latent variable and related models / (2007)
    Amsterdam ; : Elsevier,
    Details
    UID:
    almafu_9958102862802883
    Format: 1 online resource (458 p.)
    Edition: 1st ed.
    ISBN: 1-280-96270-4 , 9786610962709 , 0-08-047126-9
    Series Statement: Handbook of computing and statistics with applications ; v. 1
    Content: 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.
    Note: Description based upon print version of record. , Front cover; Handbook of Latent Variable and Related Models; Copyright page; Handbook Series on Computing and Statistics with Applications; Preface; About the Authors; Contributors; Table of contents; Chapter 1.Covariance Structure Models for Maximal Reliability of Unit-Weighted Composites; 1. Proposed identification condition for factor models; 2. Reliability based on proposed parameterization; 3. Properties of the coefficient; 4. Illustration with exploratory factor analysis; 5. Reliability with general latent variable models; 6. Dimension-free and greatest lower bound reliability , 7. Reliability of weighted composites8. Selection of weights for maximal reliability; 9. Conclusions; Acknowledgements; References; Chapter 2. Advances in Analysis of Mean and Covariance Structure when Data are Incomplete; 1. Introduction; 2. Missing data mechanism; 3. Methods for handling missing data; 4. Simulation studies; 5. Sensitivity analysis for missing data mechanism; 6. SEM software for incomplete data; References; Chapter 3. Rotation Algorithms: From Beginning to End; 1. Introduction; 2. Factor analysis; 3. A parameterization for Lambda and Phi; 4. Reference structures , 5. Thurstone's graphical rotation method6. Early analytic oblique rotation methods; 7. Pairwise algorithms; 8. Analytic rotation methods: Orthogonal; 9. Direct analytic methods: Oblique; 10. Discussion; References; Chapter 4. Selection of Manifest Variables; 1. Introduction; 2. Manifest variable selection in factor analysis; 3. SEFA and examples with empirical data; 4. Variable selection with a model fit and reliability analysis; 5. Conclusion and final remarks; Acknowledgements; References; Chapter 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data; 1. Introduction , 2. Model description3. Bayesian analysis of the models; 4. Simulation studies; 5. An illustrative example; 6. Analysis via WinBUGS; 7. Discussion; Acknowledgements; Appendix A. The permutation sampler; Appendix B. Searching for identifiability constraints; Appendix C. Manifest variables in the ICPSR example; References; Chapter 6. Local Influence Analysis for Latent Variable Models with Non-Ignorable Missing Responses; 1. Introduction; 2. Local influence of latent variable models with non-ignorable missing data; 3. Normal mixed effects model; 4. Generalized linear mixed model; 5. Conclusion , Appendix AAppendix B; Appendix C; References; Chapter 7. Goodness-of-Fit Measures for Latent Variable Models for Binary Data; 1. Introduction; 2. Latent variable models for binary responses; 3. Goodness-of-fit tests for latent variable models for binary data; 4. Limited information statistics; 5. Test based on the log-odds ratio; 6. Simulations; 7. Conclusion; Acknowledgements; References; Chapter 8 Bayesian Structural Equation Modeling; 1. Introduction; 2. Structural equation models; 3. Bayesian approach; 4. Democratization and industrialization application; 5. Discussion and future research , Appendix A. Prior specifications , English
    Additional Edition: ISBN 0-444-52044-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
    Charité
  • 5
    Book
    Book
    Handbook of latent variable and related models (2007)
    Amsterdam : Elsevier North Holland | Oxford : Elsevier Science
    Details
    UID:
    b3kat_BV021832420
    Format: XXII, 435 S. , graph. Darst.
    Edition: 1. ed.
    ISBN: 0444520449 , 9780444520449
    Series Statement: Handbook of computing and statistics with applications 1
    Language: English
    Subjects: Mathematics
    RVK:
    SK 830
    Keywords: Multivariate Analyse ; Statistik ; Datenverarbeitung
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    TU Berlin get availability status
Nothing or not found what you are looking for? Please check your search query or use the Interlibrary Loan Search.
Did you mean 0444520414?
Did you mean 0444520430?
Did you mean 0444520457?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages