Estimation of distribution functions in measurement error models

DOI10.1016/J.JSPI.2012.09.004zbMath1428.62142arXiv1009.2522OpenAlexW2086261769WikidataQ57090284 ScholiaQ57090284MaRDI QIDQ1926384

Yanyan Li

Publication date: 28 December 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1009.2522

zbMATH Keywords

prevalenceadaptive estimatordeconvolutionerror in variables

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Minimax procedures in statistical decision theory (62C20)

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Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error ⋮ Nonparametric estimation of cumulative distribution function from noisy data in the presence of Berkson and classical errors ⋮ Deconvolution of cumulative distribution function with unknown noise distribution ⋮ Deconvolution of \(P(X<Y)\) with supersmooth error distributions ⋮ Deconvolution problem of cumulative distribution function with heteroscedastic errors ⋮ Deconvolution of a cumulative distribution function with some non-standard noise densities ⋮ Adaptive quantile estimation in deconvolution with unknown error distribution ⋮ Efficient Estimation of the PDF and the CDF of the Exponentiated Gumbel Distribution ⋮ Distribution estimation of a sum random variable from noisy samples

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