Existence and consistency of maximum likelihood in upgraded mixture models
A. W. van der Vaart and
Jon A. Wellner
Journal of Multivariate Analysis, 1992, vol. 43, issue 1, 133-146
Abstract:
Suppose one observes a sample of size m from the mixture density [integral operator] p(xz) d[eta](z) and a sample of size n from the distribution [eta]. The kernel p(xz) is known. We show existence of the maximum likelihood estimator for [eta], characterize its support, and prove consistency as m, n --> [infinity].
Keywords: mixture; model; maximum; likelihood; consistency (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(92)90113-T
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:43:y:1992:i:1:p:133-146
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().