Rates of convergence of some estimators in a class of deconvolution problems

Leonard A. Stefanski

Statistics & Probability Letters, 1990, vol. 9, issue 3, 229-235

Abstract: This paper studies the problem of estimating the density of U when only independent copies of X = U + Z is observable where Z is an independent measurement error. Convergence rates of a family of deconvolved kernel density estimators are obtained under different assumptions on the density of Z.

Keywords: Deconvolution; density; estimation; mean; squared; error; measurement; error; rates; of; convergence; uniform; convergence (search for similar items in EconPapers)
Date: 1990
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Citations: View citations in EconPapers (19)

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