Adaptive estimation for a semiparametric model of mixture
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Publication:2786939
DOI10.1090/TPMS/964zbMath1331.62191OpenAlexW2486902254MaRDI QIDQ2786939
Publication date: 24 February 2016
Published in: Theory of Probability and Mathematical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1090/tpms/964
Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Order statistics; empirical distribution functions (62G30)
Related Items (3)
Adaptive test on means homogeneity by observations from a mixture ⋮ Asymptotic normality of Kaplan–Meier estimators for mixtures with varying concentrations ⋮ Principal components analysis for mixtures with varying concentrations
Cites Work
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- Adaptive estimators for parameters of a mixture of two symmetric distributions
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- Semiparametric Estimation of a Two‐component Mixture Model where One Component is known
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