Title : ( Density estimators for truncated dependent data )
Authors: Vahid Fakoor , Sara Jomhoori , atieh ganjeali ,
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Abstract
Bandwidth, integrated square error, Kaplan-Meier estimator, kernel density estimator, strong mixing, truncated dependent data.
Keywords
, In some long term studies, a series of dependent and possibly truncated lifetime data may be observed. Suppose that the lifetimes have a common continuous distribution function F. A popular stochastic measure of the distance between the density function f of the lifetimes and its kernel estimate
@article{paperid:1023912,
author = {Fakoor, Vahid and Sara Jomhoori and Ganjeali, Atieh},
title = {Density estimators for truncated dependent data},
journal = {Journal of the Iranian Statistical Society},
year = {2011},
volume = {10},
number = {1},
month = {March},
issn = {1726-4057},
pages = {45--61},
numpages = {16},
keywords = {In some long term studies; a series of dependent and possibly
truncated lifetime data may be observed. Suppose that the lifetimes
have a common continuous distribution function F. A popular stochastic
measure of the distance between the density function f of the lifetimes
and its kernel estimate fn is the integrated square error (ISE). In this
paper; we derive a central limit theorem for the integrated square error
of the kernel density estimators in the left-truncation model. It is
assumed that the lifetime observations form a stationary strong mixing
sequence. A central limit theorem (CLT) for the ISE of the kernel hazard
rate estimators is also presented.},
}
%0 Journal Article
%T Density estimators for truncated dependent data
%A Fakoor, Vahid
%A Sara Jomhoori
%A Ganjeali, Atieh
%J Journal of the Iranian Statistical Society
%@ 1726-4057
%D 2011
