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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

 
 

 

Improved estimators for moments constructed from observations of a mixture


Authors: R. Maĭboroda and O. Kubaĭchuk
Translated by: V. Semenov
Journal: Theor. Probability and Math. Statist. 70 (2005), 83-92
MSC (2000): Primary 62G05; Secondary 62G20
DOI: https://doi.org/10.1090/S0094-9000-05-00642-3
Published electronically: August 5, 2005
MathSciNet review: 2109826
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Abstract | References | Similar Articles | Additional Information

Abstract: Procedures for improving weighted empirical distribution functions constructed from mixtures with varying concentrations are considered. The procedures are such that the estimators of moments of the mixture components constructed from weighted empirical distribution functions have specified properties (say, estimators of the variance must not be negative). We prove that the moment estimators constructed from improved weighted empirical distribution functions have the same asymptotic behavior as those constructed from the original weighted empirical distribution functions.


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Additional Information

R. Maĭboroda
Affiliation: Department of Probability Theory and Mathematical Statistics, Mechanics and Mathematics Faculty, National Taras Shevchenko University, Academician Glushkov Avenue 6, Kyiv 03127, Ukraine
Email: mre@mechmat.univ.kiev.ua

O. Kubaĭchuk
Affiliation: Department of Probability Theory and Mathematical Statistics, Mechanics and Mathematics Faculty, National Taras Shevchenko University, Academician Glushkov Avenue 6, Kyiv 03127, Ukraine
Email: linsta@akcecc.kiev.ua

Received by editor(s): January 22, 2003
Published electronically: August 5, 2005
Article copyright: © Copyright 2005 American Mathematical Society