%0 Journal Article
%A Mahmoudi, Marziyeh
%A Arashi, Mohammad
%A Nezakati, Ahmad
%T Shrinkage Estimators of the Probability Density Function and their Asymptotic Properties under Association
%J Journal of the Iranian Statistical Society
%V 18
%N 2
%U http://jirss.irstat.ir/article-1-539-en.html
%R 10.29252/jirss.18.2.173
%D 2019
%K Association, Asymptotic MSE, Kernel Estimate, Preliminary Test, Shrinkage.,
%X In the present article, we develop the well-known preliminary test and Stein-type estimators for the probability density function under association. In this respect, we derive the asymptotic characteristics of the proposed estimators under a set of local alternatives. Some numerical studies are provided for supporting the findings. The result of this article improves the kernel estimate of the marginal probability density function of a strictly stationary sequence of associated random variables. For practical sake, the behavior of the proposed estimators is also analyzed using a real data set.
%> http://jirss.irstat.ir/article-1-539-en.pdf
%P 173-197
%& 173
%! Shrinkage Estimators of the Probability Density Function
%9 Original Paper
%L A-11-101-5
%+ Department of Statistics, Faculty of Mathematical Sciences, Shahrood University of Technology, Iran
%G eng
%@ 1726-4057
%[ 2019