Title : ( Kernel Distribution Function Estimation Under Negative Superadditive Dependence )
Authors: azam kheyri , Mohammad Amini , Hadi Jabbari Nooghabi ,
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Abstract
In this paper, the kernel distribution function estimator for negatively superadditive dependent random variables is studied. The exponential inequalities and exponential rate for the kernel estimator of distribution function are investigated. Under certain regularity conditions, the optimal bandwidth is determined using mean squared error, and is found to be the same as that in the independent identically distributed case.
Keywords
Exponential Rates; Kernel Estimation; Negative Superadditive Dependence
@inproceedings{paperid:1070065,
author = {Kheyri, Azam and Amini, Mohammad and Jabbari Nooghabi, Hadi},
title = {Kernel Distribution Function Estimation Under Negative Superadditive Dependence},
booktitle = {14th Iranian Statistics Conference},
year = {2018},
location = {شاهرود, IRAN},
keywords = {Exponential Rates; Kernel Estimation; Negative Superadditive Dependence},
}
%0 Conference Proceedings
%T Kernel Distribution Function Estimation Under Negative Superadditive Dependence
%A Kheyri, Azam
%A Amini, Mohammad
%A Jabbari Nooghabi, Hadi
%J 14th Iranian Statistics Conference
%D 2018
