Title : ( On Estimation in the Exponentiated Pareto Distribution in the Presence of Outliers )
Authors: Mehdi Jabbari Nooghabi ,
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Abstract
The maximum likelihood and moment estimations of the probability density function (pdf) and cumulative distribution function (cdf) are derived for the Exponentiated Pareto distribution in the presence of outliers. Also, we calculate the mixture method of ML and moment estimators. It has been shown that this mixture method is better than the others. Further, we have given an actual data from an insurance company.
Keywords
, Exponentiated Pareto distribution, Maximum likelihood estimator, Moment estimator, Mixture method, Probability density function, Cumulative distribution function, Outliers, Insurance
@article{paperid:1063119,
author = {Jabbari Nooghabi, Mehdi},
title = {On Estimation in the Exponentiated Pareto Distribution in the Presence of Outliers},
journal = {Applied Mathematics and Information Sciences},
year = {2017},
volume = {11},
number = {4},
month = {July},
issn = {1935-0090},
pages = {1129--1137},
numpages = {8},
keywords = {Exponentiated Pareto distribution;Maximum likelihood estimator;Moment estimator;Mixture method; Probability density function; Cumulative distribution function; Outliers; Insurance},
}
%0 Journal Article
%T On Estimation in the Exponentiated Pareto Distribution in the Presence of Outliers
%A Jabbari Nooghabi, Mehdi
%J Applied Mathematics and Information Sciences
%@ 1935-0090
%D 2017
