z-logo
open-access-imgOpen Access
Estimating parameters Gumbel Pareto Distribution
Author(s) -
Mahdi Wahhab
Publication year - 2018
Publication title -
diyala journal for pure science
Language(s) - English
Resource type - Journals
eISSN - 2518-9255
pISSN - 2222-8373
DOI - 10.24237/djps.1402.372a
Subject(s) - gumbel distribution , lomax distribution , generalized pareto distribution , pareto principle , distribution (mathematics) , pareto distribution , mathematics , statistics , extreme value theory , mathematical analysis
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 (μ, θ , α , B ) 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom