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Consistency and other large sample properties of maximum likelihood estimates of mixture parametersThe strong consistency, asymptotic normality, and asymptotic efficiency of maximum likelihood estimates of the parameters in a finite mixture of multivariate distributions are discussed as well as the asymptotic theory of some hypothesis tests for such mixtures.
Document ID
19830007509
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Peters, C. (Houston Univ. TX, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Publication Information
Publication: Texas A and M Univ. Proc. of the NASA Workshop on Density Estimation and Function Smoothing
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N15780
Funding Number(s)
CONTRACT_GRANT: NAS9-14689
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19830007503Collected WorksProceedings of the NASA Workshop on Density Estimation and Function Smoothing
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