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The analysis of incomplete data.In this paper, we attempt to provide a simple taxonomy for incomplete-data problems and at the same time develop unified methods of analysis. The emphasis is on techniques which are natural extensions of the complete-data analysis and which will handle rather general classes of incomplete-data problems as opposed to custom-made techniques for special problems. The principle of estimation is either maximum likelihood or is at least based on maximum likelihood.
Document ID
19720037533
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Hartley, H. O.
Hocking, R. R.
(Texas A & M University College Station, Tex., United States)
Date Acquired
August 6, 2013
Publication Date
December 1, 1971
Subject Category
Mathematics
Accession Number
72A21199
Funding Number(s)
CONTRACT_GRANT: NGR-44-001-095
Distribution Limits
Public
Copyright
Other

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