Jackknife covariance matrix estimation for observations from mixture

DOI10.15559/19-VMSTA145zbMath1439.62154arXiv1912.07948OpenAlexW3105691321MaRDI QIDQ2178929

Olena Sugakova, Rostislav E. Maiboroda

Publication date: 12 May 2020

Published in: Modern Stochastics. Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.07948

zbMATH Keywords

finite mixture modeljackknifenonparametric estimationmixture with varying concentrationserrors-in-variables modelorthogonal regressionconfidence ellipsoidasymptotic covariance matrix estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Applications of statistics to social sciences (62P25) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)

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Lower bound for a dispersion matrix for the semiparametric estimation in a model of mixtures ⋮ Asymptotic normality of modified LS estimator for mixture of nonlinear regressions ⋮ Adaptive estimation for a semiparametric model of mixture ⋮ Principal components analysis for mixtures with varying concentrations ⋮ Jackknife for nonlinear estimating equations

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