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Maximum Likelihood from Incomplete Data via the EM ...

Maximum Likelihood from Incomplete data via the EM AlgorithmA. P. Dempster; N. M. Laird; D. B. RubinJournal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1. (1977), URL: of the Royal Statistical Society. Series B (Methodological)is currently published by Royal Statistical use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtainedprior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content inthe JSTOR archive only for your personal, non-commercial contact the publisher regarding any further use of this work.

19771 DEMPSTER et al. -Maximum Likelihood from Incomplete Data 3 The EM algorithm has been proposed many times in special circumstances. For example, Hartley (1958) gave three multinomial examples similar to our illustrative example. Other examples to be reviewed in Section 4 include methods for handling missing values in normal

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