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- W2037608980 abstract "Maximum likelihood algorithms for use with missing data are becoming commonplace in microcomputer packages. Specifically, 3 maximum likelihood algorithms are currently available in existing software packages: the multiple-group approach, full information maximum likelihood estimation, and the EM algorithm. Although they belong to the same family of estimator, confusion appears to exist over the differences among the 3 algorithms. This article provides a comprehensive, nontechnical overview of the 3 maximum likelihood algorithms. Multiple imputation, which is frequently used in conjunction with the EM algorithm, is also discussed." @default.
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- W2037608980 date "2001-01-01" @default.
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- W2037608980 title "A Primer on Maximum Likelihood Algorithms Available for Use With Missing Data" @default.
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- W2037608980 doi "https://doi.org/10.1207/s15328007sem0801_7" @default.
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