Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability

Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as a baseline distribution (HCEE). Various prope...

Full description

Bibliographic Details
Main Author: Omid Kharazmi
Format: Article
Language:English
Published: Kharazmi University 2017-02-01
Series:International Journal of Supply and Operations Management
Subjects:
Online Access:http://www.ijsom.com/article_2714_506.html
id doaj-4883815c8c2d47c9bdce956c2344aa82
record_format Article
spelling doaj-4883815c8c2d47c9bdce956c2344aa822020-11-24T20:52:24ZengKharazmi UniversityInternational Journal of Supply and Operations Management2383-13592383-25252017-02-01417391Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in ReliabilityOmid Kharazmi0Department of Statistics, Faculty of Mathematical Sciences, Vali-e-Asr University of Rafsanjan, Rafsanjan, IranRecently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as a baseline distribution (HCEE). Various properties of the proposed distribution including explicit expressions for the moments, quantiles, mode, moment generating function, failure rate function, mean residual lifetime, order statistics and expression of the entropy are derived. Estimating parameters of HCEE distribution are obtained by eight estimation methods: maximum likelihood, Bayesian, maximum product of spacings, parametric bootstrap, non-parametric bootstrap, percentile, least-squares and weighted least-squares. A simulation study is conducted to examine the bias, mean square error of the maximum likelihood estimators. Finally, one real data set has been analyzed for illustrative purposes and it is observed that the proposed model fits better than Weibull, gamma and generalized exponential distributions.http://www.ijsom.com/article_2714_506.htmlHyperbolic cosine functionExponentiated exponentialHazard functionMean residual lifetimeMaximum likelihood
collection DOAJ
language English
format Article
sources DOAJ
author Omid Kharazmi
spellingShingle Omid Kharazmi
Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
International Journal of Supply and Operations Management
Hyperbolic cosine function
Exponentiated exponential
Hazard function
Mean residual lifetime
Maximum likelihood
author_facet Omid Kharazmi
author_sort Omid Kharazmi
title Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
title_short Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
title_full Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
title_fullStr Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
title_full_unstemmed Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability
title_sort hyperbolic cosine–exponentiated exponential lifetime distribution and its application in reliability
publisher Kharazmi University
series International Journal of Supply and Operations Management
issn 2383-1359
2383-2525
publishDate 2017-02-01
description Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as a baseline distribution (HCEE). Various properties of the proposed distribution including explicit expressions for the moments, quantiles, mode, moment generating function, failure rate function, mean residual lifetime, order statistics and expression of the entropy are derived. Estimating parameters of HCEE distribution are obtained by eight estimation methods: maximum likelihood, Bayesian, maximum product of spacings, parametric bootstrap, non-parametric bootstrap, percentile, least-squares and weighted least-squares. A simulation study is conducted to examine the bias, mean square error of the maximum likelihood estimators. Finally, one real data set has been analyzed for illustrative purposes and it is observed that the proposed model fits better than Weibull, gamma and generalized exponential distributions.
topic Hyperbolic cosine function
Exponentiated exponential
Hazard function
Mean residual lifetime
Maximum likelihood
url http://www.ijsom.com/article_2714_506.html
work_keys_str_mv AT omidkharazmi hyperboliccosineexponentiatedexponentiallifetimedistributionanditsapplicationinreliability
_version_ 1716799798574579712