Title : ( A note on the strong consistency of nonparametric estimation of Shannon entropy in length-biased sampling )
Authors: Farzaneh Oliazadeh , Anis Iranmanesh , Vahid Fakoor ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
In this article, we propose an estimator of Shannon entropy based on kernel estimators of density function in length-biased setting. The strong consistency of the proposed estimators is established. In addition, some simulations are conducted to evaluate the performance of the proposed estimator.
Keywords
, Length, biased data; Kernel density estimation; Shannon entropy; strong consistency
@article{paperid:1079190,
author = {فرزانه اولیازاده and انیس ایرانمنش and Fakoor, Vahid},
title = {A note on the strong consistency of nonparametric estimation of Shannon entropy in length-biased sampling},
journal = {Communications in Statistics - Theory and Methods},
year = {2020},
volume = {50},
number = {24},
month = {March},
issn = {0361-0926},
pages = {5779--5791},
numpages = {12},
keywords = {Length-biased data; Kernel
density estimation; Shannon
entropy; strong consistency},
}
%0 Journal Article
%T A note on the strong consistency of nonparametric estimation of Shannon entropy in length-biased sampling
%A فرزانه اولیازاده
%A انیس ایرانمنش
%A Fakoor, Vahid
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2020
