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Volumn 36, Issue 1, 2007, Pages 87-111

Latent class analysis with sampling weights: A maximum-likelihood approach

Author keywords

Complex sampling; EM algorithm; Latent class analysis; Log linear analysis; Mixture model

Indexed keywords


EID: 34547157517     PISSN: 00491241     EISSN: 15528294     Source Type: Journal    
DOI: 10.1177/0049124107301965     Document Type: Article
Times cited : (34)

References (24)
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    • Croon, Marcel A. 1989. '' Latent Class Models for the Analysis of Rankings.'' Pp. 99-121 in New Developments in Psychological Choice Modeling, edited by G. De Soete, H. Feger, and K. C. Klauer. Amsterdam: Elsevier Science.
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  • 6
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    • Goodman Leo, A.1
  • 7
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    • Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models
    • . 1974 b. '' Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models.'' Biometrika 61: 215-31.
    • (1974) Biometrika , vol.61 , pp. 215-31
  • 10
    • 84935323293 scopus 로고
    • A Stabilized Newton-Raphson Algorithm for Log-Linear Models for Frequency Tables Derived by Indirect Observations
    • . 1988. '' A Stabilized Newton-Raphson Algorithm for Log-Linear Models for Frequency Tables Derived by Indirect Observations.'' Sociological Methodology 18: 193-211.
    • (1988) Sociological Methodology , vol.18 , pp. 193-211
  • 16
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    • The Analysis of Cross-Classified Categorical Data from Complex Sample Surveys
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    • Rao, J.N.K.1    Roland Thomas., D.2
  • 20
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    • Comments on Latent Class Analysis of Complex Sample Survey Data: Application to Dietary Data
    • . 2002. '' Comments on Latent Class Analysis of Complex Sample Survey Data: Application to Dietary Data.'' Journal of the American Statistical Association 97: 736-7.
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  • 21
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    • Technical Guide to Latent GOLD 4.0: Basic and Advanced
    • Belmont, MA: Statistical
    • Vermunt, Jeroen K. and Jay Magidson. 2005. Technical Guide to Latent GOLD 4.0: Basic and Advanced. Belmont, MA: Statistical Innovations.
    • (2005) Innovations
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  • 23
    • 84935323242 scopus 로고
    • Loglinear Models with Missing Data: A Latent Class Approach
    • Winship, Christopher and Robert D. Mare. 1989. '' Loglinear Models With Missing Data: A Latent Class Approach.'' Sociological Methodology 19: 331-67.
    • (1989) Sociological Methodology , vol.19 , pp. 331-67
    • Christopher, W.1    Robert, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.