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A general method of density estimation for associated random variables 

Authors: Isha Dewan a; B. L. S. Prakasa rao a
Affiliation:   a Indian Statistical Institute, Sansanwal Marg, New Delhi, India
DOI: 10.1080/10485259908832769
Publication Frequency: 8 issues per year
Published in: journal Journal of Nonparametric Statistics, Volume 10, Issue 4 1999 , pages 405 - 420
Formats available: PDF (English)
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Abstract

Let lcubXn;n ≥1rcub be a sequence of stationary associated random variables having a common marginal density function f (x). Let ./GNST_A_8832769_O_XML_IMAGES/GNST_A_8832769_O_ILM0001.gif , be a sequence of Borel-measurable functions defined on R2. Let ./GNST_A_8832769_O_XML_IMAGES/GNST_A_8832769_O_ILM0002.gif  be the empirical density function. Here we study a set of sufficient conditions under which the probability ./GNST_A_8832769_O_XML_IMAGES/GNST_A_8832769_O_ILM0003.gif  at an exponential rate as n → ∞ where the rate possibly depends on ε, δ and f and [a, b] is a finite or an infinite interval.
Keywords: Density estimation; associated random variables; uniform consistency; exponential rate
AMS Subject Classification 1991: 62007; 60F05
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