Please use this identifier to cite or link to this item: http://148.72.244.84/xmlui/handle/xmlui/4070
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dc.contributor.authorMahdi Wahhab Namah Nasrallah-
dc.date.accessioned2023-10-17T08:42:55Z-
dc.date.available2023-10-17T08:42:55Z-
dc.date.issued2018-
dc.identifier.citationhttp://dx.doi.org/10.24237/djps.1402.372Aen_US
dc.identifier.issn2222-8373-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/4070-
dc.description.abstractThe proposed method for generating a new distribution, depends on the Cumulative Distribution Function (CDF) of two distributions, namely, Gumbel distribution and pareto distribution.We obtain a new compound, which is called (Gumble – Pareto distribution GPD). In this research we work on deriving the formula for the new distribution, and all other additional properties as well as introducing different methods to estimate the four parameters ( ) By different Method like Maximum likelihood, and method of Moments estimator and also, we derive Percentiles estimator and least squares and also weighted least square. Then the Comparison is done through simulation.en_US
dc.description.sponsorshiphttps://djps.uodiyala.edu.iq/en_US
dc.language.isoenen_US
dc.publisheruniversity of Diyalaen_US
dc.subjectGumbel distribution, Pareto distribution, MLE, Moments, LS, WLS, PE.en_US
dc.titleEstimating parameters Gumbel Pareto Distributionen_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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