On moment-density estimation in some biased models

dc.creatorMnatsakanov, Robert M.
dc.creatorRuymgaart, Frits H.
dc.date2006-11-07
dc.date.accessioned2026-07-07T08:08:19Z
dc.date.available2026-07-07T08:08:19Z
dc.descriptionThis paper concerns estimating a probability density function $f$ based on iid observations from $g(x)=W^{-1} w(x) f(x)$, where the weight function $w$ and the total weight $W=\int w(x) f(x) dx$ may not be known. The length-biased and excess life distribution models are considered. The asymptotic normality and the rate of convergence in mean squared error (MSE) of the estimators are studied.
dc.descriptionPublished at http://dx.doi.org/10.1214/074921706000000536 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0611190
dc.identifierhttp://arxiv.org/abs/math/0611190
dc.identifierIMS Lecture Notes--Monograph Series 2006, Vol. 49, 322-333
dc.identifierdoi:10.1214/074921706000000536
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131227
dc.subjectStatistics Theory
dc.subject62G05 (Primary) 62G20 (Secondary)
dc.titleOn moment-density estimation in some biased models
dc.typetext

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