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The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models

โœ Scribed by Enders, Craig; Bandalos, Deborah


Book ID
127305845
Publisher
Lawrence Erlbaum Associates, Inc.
Year
2001
Tongue
English
Weight
132 KB
Volume
8
Category
Article
ISSN
1070-5511

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โœฆ Synopsis


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The maximum likelihood estimator (MLE) of the correlation coefficient and its asymptotic properties are well-known for bivariate normal data when no observations are missing. The situation in which one of the two variates is not observed in some of the data is examined herein. The MLE of the correla