Mathematics – Statistics Theory
Scientific paper
2006-11-07
IMS Lecture Notes--Monograph Series 2006, Vol. 49, 322-333
Mathematics
Statistics Theory
Published at http://dx.doi.org/10.1214/074921706000000536 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/
Scientific paper
10.1214/074921706000000536
This 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.
Mnatsakanov Robert M.
Ruymgaart Frits H.
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