ON DEVELOPMENT OF FOUR-PARAMETERS EXPONENTIATED GENERALIZED EXPONENTIAL DISTRIBUTION

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dc.contributor.authorBukoye, A.
dc.contributor.authorOyeyemi, G. M.
dc.date.accessioned2023-07-27T09:16:23Z
dc.date.available2023-07-27T09:16:23Z
dc.date.issued2018
dc.description.abstractIn this paper, a four parameter Exponentiated Generalized Exponentiated exponential distribution is derived from Exponentiated Generalized Family (EGF) of distribution. Some properties of the distribution are studied. The distribution is found to be unimodal and has a decreasing and increasing hazard rate depending on the shape parameters. The expressions for the moment, median, quantile, mean deviation, median deviation, skewness, kurtosis, Renyi entropy are obtained. Some known continuous distributions are special cases of the new derived distributions. Simulation study, maximum likelihood estimator and real life application of the model to data, shows that new distribution fits better than it’s sub-models.en_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationPakistan Journal of Statisticsen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11652
dc.language.isoenen_US
dc.publisherIslamic Countries Society of Statistical Sciences (ISOSS)en_US
dc.relation.ispartofseries34(4);331 – 358
dc.subjectMoment, Hazard rate, Kurtosis, Renyi entropy, Unimodal, Skewness, Quantile functionen_US
dc.titleON DEVELOPMENT OF FOUR-PARAMETERS EXPONENTIATED GENERALIZED EXPONENTIAL DISTRIBUTIONen_US
dc.typeArticleen_US

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