Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Olena Sugakova"'
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 9, Iss 4, Pp 377-399 (2022)
In mixture with varying concentrations model (MVC) one deals with a nonhomogeneous sample which consists of subjects belonging to a fixed number of different populations (mixture components). The population which a subject belongs to is unknown, but
Externí odkaz:
https://doaj.org/article/3e8342d250594557a34bbb839d3dea50
Autor:
Olena Sugakova, Rostyslav Maiboroda
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 8, Iss 4, Pp 509-523 (2021)
Principal Component Analysis (PCA) is a classical technique of dimension reduction for multivariate data. When the data are a mixture of subjects from different subpopulations one can be interested in PCA of some (or each) subpopulation separately. I
Externí odkaz:
https://doaj.org/article/e5c2e87d921840a693dcf03bb32adde1
Autor:
Rostyslav Maiboroda, Olena Sugakova
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 6, Iss 4, Pp 495-513 (2019)
A general jackknife estimator for the asymptotic covariance of moment estimators is considered in the case when the sample is taken from a mixture with varying concentrations of components. Consistency of the estimator is demonstrated. A fast algorit
Externí odkaz:
https://doaj.org/article/e45a0cf015764ee5a56d439932b50f9b
Autor:
Olena Sugakova, Rostyslav Maiboroda
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 6, Iss 4, Pp 495-513 (2019)
A general jackknife estimator for the asymptotic covariance of moment estimators is considered in the case when the sample is taken from a mixture with varying concentrations of components. Consistency of the estimator is demonstrated. A fast algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::380f3984d2eb51993c7018ff0446aa8b
Autor:
Olena Sugakova, Rostyslav Maiboroda
Publikováno v:
Methodology and Computing in Applied Probability. 17:223-234
Model of mixture with varying concentrations is a generalization of the classical finite mixture model in which the mixing probabilities (concentrations) vary from observation to observation. We consider the case when the concentrations of the mixtur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::358ab97c6876be2442a1d447e9982abf
https://doi.org/10.1007/s11009-013-9349-4
https://doi.org/10.1007/s11009-013-9349-4
Publikováno v:
Canadian Journal of Statistics. 41:217-236
A finite mixture model is considered in which the mixing probabilities vary from observation to observation. A parametric model is assumed for one mixture component distribution, while the others are nonparametric nuisance parameters. Generalized est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c026929533fe23d9ed543a42da9a82d2
https://doi.org/10.1002/cjs.11170
https://doi.org/10.1002/cjs.11170
Autor:
Olena Sugakova, Rostyslav Maiboroda
Publikováno v:
Journal of Nonparametric Statistics. 24:201-215
A finite mixture model is considered in which the mixing probabilities vary from observation to observation. Estimation of mixture components distributions, functional moments and densities is discussed. Tests are proposed for testing hypotheses on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3990004b593a122baa932d5422cb08c2
https://doi.org/10.1080/10485252.2011.630076
https://doi.org/10.1080/10485252.2011.630076
Autor:
Rostyslav Maiboroda, Olena Sugakova
Publikováno v:
Communications in Statistics - Theory and Methods. 40:96-116
A semiparametric two-component mixture model is considered, in which the distribution of one (primary) component is unknown and assumed symmetric. The distribution of the other component (admixture) is known. Generalized estimating equations are cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f611b11ef8f822a46d335f92850fa7a2
https://doi.org/10.1080/03610920903350556
https://doi.org/10.1080/03610920903350556
Autor:
Rostyslav Maiboroda, Olena Sugakova
Publikováno v:
Metrika. 75:109-126
A semiparametric two-component mixture model is considered, in which the distribution of one (primary) component is unknown and assumed symmetric. The distribution of the other component (admixture) is known. We consider three estimates for the pdf o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc73714b3e92a5e0374199d80925af9
https://doi.org/10.1007/s00184-010-0317-5
https://doi.org/10.1007/s00184-010-0317-5