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...
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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 |
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1716799798574579712 |