Document Type : Research Article
Authors
- Parviz Nasiri ^{} ^{1}
- Roghaieh Kheirazar ^{1}
- Abbas Rasouli ^{2}
- Ali Shadrokh ^{1}
^{1} University of Payam Noor, Tehran, Iran
^{2} Department of Statistics, Faculty of Sciences, University of Zanjan, Zanjan, Iran
Abstract
In this article, according to the importance of the hazard rate function criterion in the
evaluation of statistical distributions, its estimation methods are presented. Here, we suggest
estimators for the hazard rate function. First, we use the standard deconvolution kernel
density estimator and suggest a plug-in estimator. In the following we investigate asymptotic
behavior of our estimator. For another estimator, we construct the new estimation the
hazard rate function according plug-in and CDF. Finally, we consider the performance of
the suggested estimators by simulation. Mean square error of estimators λˆ(t, p), λˆ(t) and λˆ
c(t) present in tables 1 till 6.
Keywords
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