Generalized estimating equations for mixtures with varying concentrations

DOI10.1002/CJS.11170zbMath1273.62071OpenAlexW1968705029MaRDI QIDQ2851564

Olena Sugakova, Alexey Doronin, Rostislav E. Maiboroda

Publication date: 11 October 2013

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11170

zbMATH Keywords

asymptotic normalityfinite mixture modelssemi-parametric estimationstatistical analysis of voting results

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Order statistics; empirical distribution functions (62G30)

Related Items (8)

Confidence ellipsoids for regression coefficients by observations from a mixture ⋮ Linear regression by observations from mixture with varying concentrations ⋮ Testing hypotheses on moments by observations from a mixture with varying concentrations ⋮ 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

Cites Work

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• Nonparametric estimation of component distributions in a multivariate mixture
• Semiparametric estimation of a two-component mixture model
• Statistics of mixtures with varying concentrations with application to DNA microarray data analysis
• Test on components of mixture densities
• Finite mixture models
• Estimation of mean positions and concentrations from observations of a two-component mixture of symmetric distributions
• Semiparametric Estimation of a Two‐component Mixture Model where One Component is known

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