Testing hypotheses on moments by observations from a mixture with varying concentrations

A mixture with varying concentrations is a modification of a finite mixture model in which the mixing probabilities (concentrations of mixture components) may be different for different observations. In the paper, we assume that the concentrations are known and the distributions of components are co...

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Main Authors:	Alexey Doronin, Rostyslav Maiboroda
Format:	Article
Language:	English
Published:	VTeX 2015-02-01
Series:	Modern Stochastics: Theory and Applications
Subjects:	Finite mixture model functional moments hypothesis testing mixture with varying concentrations
Online Access:	https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA19

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spelling	doaj-91359f81e352436ead9db8dbe3ebf7ba2020-11-25T01:31:33ZengVTeXModern Stochastics: Theory and Applications2351-60462351-60542015-02-011219520910.15559/15-VMSTA19Testing hypotheses on moments by observations from a mixture with varying concentrationsAlexey Doronin0Rostyslav Maiboroda1Kyiv National Taras Shevchenko University, Kyiv, UkraineKyiv National Taras Shevchenko University, Kyiv, UkraineA mixture with varying concentrations is a modification of a finite mixture model in which the mixing probabilities (concentrations of mixture components) may be different for different observations. In the paper, we assume that the concentrations are known and the distributions of components are completely unknown. Nonparametric technique is proposed for testing hypotheses on functional moments of components.https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA19Finite mixture modelfunctional momentshypothesis testingmixture with varying concentrations
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Alexey Doronin Rostyslav Maiboroda
spellingShingle	Alexey Doronin Rostyslav Maiboroda Testing hypotheses on moments by observations from a mixture with varying concentrations Modern Stochastics: Theory and Applications Finite mixture model functional moments hypothesis testing mixture with varying concentrations
author_facet	Alexey Doronin Rostyslav Maiboroda
author_sort	Alexey Doronin
title	Testing hypotheses on moments by observations from a mixture with varying concentrations
title_short	Testing hypotheses on moments by observations from a mixture with varying concentrations
title_full	Testing hypotheses on moments by observations from a mixture with varying concentrations
title_fullStr	Testing hypotheses on moments by observations from a mixture with varying concentrations
title_full_unstemmed	Testing hypotheses on moments by observations from a mixture with varying concentrations
title_sort	testing hypotheses on moments by observations from a mixture with varying concentrations
publisher	VTeX
series	Modern Stochastics: Theory and Applications
issn	2351-6046 2351-6054
publishDate	2015-02-01
description	A mixture with varying concentrations is a modification of a finite mixture model in which the mixing probabilities (concentrations of mixture components) may be different for different observations. In the paper, we assume that the concentrations are known and the distributions of components are completely unknown. Nonparametric technique is proposed for testing hypotheses on functional moments of components.
topic	Finite mixture model functional moments hypothesis testing mixture with varying concentrations
url	https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA19
work_keys_str_mv	AT alexeydoronin testinghypothesesonmomentsbyobservationsfromamixturewithvaryingconcentrations AT rostyslavmaiboroda testinghypothesesonmomentsbyobservationsfromamixturewithvaryingconcentrations
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Testing hypotheses on moments by observations from a mixture with varying concentrations

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