Transcription of Maximum Likelihood from Incomplete Data via the EM ...
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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. Publisher contact information may be obtained copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printedpage of such is an independent not-for-profit organization dedicated to and preserving a digital archive of scholarly journals.
The EM algorithm for this example is defined by cycling back and forth between (1.4) and (1.5). Starting from an initial value of do)= 0.5, the algorithm moved for eight steps as displayed in Table 1. By substituting xip) from equation (1.4) into equation (IS), and letting n* =n(p)= n ...
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