Title : ( A Note on the Smooth Estimator of the Quantile Function with Left-Truncated Data )
Authors: P. Kahrobaeian , Vahid Fakoor ,
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Abstract
This note focuses on estimating the quantile function based on the kernel smooth estimator under a truncated dependent model. The Bahadurtype representation of the kernel smooth estimator is established, and from the Bahadur representation it can be seen that this estimator is strongly consistent.
Keywords
, Kiefer process, law of the iterated logarithm, strong Gaussian approximation, strong mixing, truncated data.
@article{paperid:1052936,
author = {P. Kahrobaeian and Fakoor, Vahid},
title = {A Note on the Smooth Estimator of the Quantile Function with Left-Truncated Data},
journal = {Journal of the Iranian Statistical Society},
year = {2015},
volume = {14},
number = {1},
month = {July},
issn = {1726-4057},
pages = {107--118},
numpages = {11},
keywords = {Kiefer process; law of the iterated logarithm; strong Gaussian approximation; strong mixing; truncated data.},
}
%0 Journal Article
%T A Note on the Smooth Estimator of the Quantile Function with Left-Truncated Data
%A P. Kahrobaeian
%A Fakoor, Vahid
%J Journal of the Iranian Statistical Society
%@ 1726-4057
%D 2015
