Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/4070
Title: Estimating parameters Gumbel Pareto Distribution
Authors: Mahdi Wahhab Namah Nasrallah
Keywords: Gumbel distribution, Pareto distribution, MLE, Moments, LS, WLS, PE.
Issue Date: 2018
Publisher: university of Diyala
Citation: http://dx.doi.org/10.24237/djps.1402.372A
Abstract: The 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.
URI: http://148.72.244.84:8080/xmlui/handle/xmlui/4070
ISSN: 2222-8373
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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