University of Bahrain
Scientific Journals

A New Extension of the Exponential Power Distribution with Application to Lifetime Data

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dc.contributor.author Shakil, M.
dc.contributor.author Kibria, B.M. Golam
dc.contributor.author Elgarhy, M.
dc.date.accessioned 2018-11-01T12:33:52Z
dc.date.available 2018-11-01T12:33:52Z
dc.date.issued 2018-11-01
dc.identifier.issn 2210-1519
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/3317
dc.description.abstract This paper derives a new four-parameter generalized exponential power lifetime probability model for life time data, which generalizes some well-known exponential power lifetime distributions. It is observed that our proposed new distribution bears most of the properties of skewed distributions in reliability and life testing context. It is skewed to the right as well as its failure rate function has the increasing and bathtub shape behaviors. The estimation of the parameters, and simulation and applications of the proposed model have also been discussed. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Exponential power distribution en_US
dc.subject Estimation en_US
dc.subject Fa distribution en_US
dc.subject Generalized exponential power distribution en_US
dc.subject Lifetime en_US
dc.subject Reliability en_US
dc.subject Simulation en_US
dc.title A New Extension of the Exponential Power Distribution with Application to Lifetime Data en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcts/050202
dc.volume 05 en_US
dc.issue 02 en_US
dc.pagestart 71 en_US
dc.pageend 82 en_US
dc.contributor.authorcountry USA en_US
dc.contributor.authorcountry USA en_US
dc.contributor.authorcountry KSA en_US
dc.contributor.authoraffiliation Miami Dade College, Hialeah, FL 33012, USA en_US
dc.contributor.authoraffiliation Florida International University, Miami, FL 33199, USA en_US
dc.contributor.authoraffiliation University of Jeddah, Jeddah, KSA en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US
dc.abbreviatedsourcetitle IJCTS en_US


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