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http://hdl.handle.net/20.500.12358/24116
TitleOn Improvement of Hazard Rate Function Estimation Using Adaptive Kernel Estimates
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Abstract

In this paper, we use the adaptive kernel estimates method to improve nonparametically the estimator of the probability density function (pdf) using the Erlang kernel (Erlang estimator). In addition, the cumulative distribution (cdf) of the improved Erlang estimator and the related hazard rate function for independent and identically distributed (iid) data will be evaluated. The performance of improved Erlang estimator and the related hazard rate function are tested using a simulation study.

Authors
Alhoubi, Iyad M.
El Shekh Ahmed, Hazem I.
Salha, Raid B.
TypeJournal Article
Date2017
LanguageEnglish
Subjects
erlang kernel
adaptive kernel estimates
hazard rate function
Published inIUG Journal of Natural Studies
SeriesVolume: 25, Number: 3
Publisherالجامعة الإسلامية - غزة
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  • Staff Publications- Faculty of Science [1030]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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