Journal of Sciences, Islamic Republic of Iran, ( ISI ), Volume (28), No (3), Year (2017-7) , Pages (267-272)

Title : ( Detecting Outliers in Exponentiated Pareto Distribution )

Authors: Mehdi Jabbari Nooghabi ,

Citation: BibTeX | EndNote

In this paper, we use two statistics for detecting outliers in exponentiated Pareto distribution. These statistics are the extension of the statistics for detecting outliers in exponential and gamma distributions. In fact, we compare the power of our test statistics based on the simulation study and introduce the best test statistic for detecting outliers in exponentiated Pareto distribution. At the end we describe an example from insurance company.

Keywords

, Pareto sample, Exponentiated Pareto sample, Z statistic, Dixon’s statistic, Outliers, Slippage hypothesis, Test of Chauvenet, Upper
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@article{paperid:1063118,
author = {Jabbari Nooghabi, Mehdi},
title = {Detecting Outliers in Exponentiated Pareto Distribution},
journal = {Journal of Sciences, Islamic Republic of Iran},
year = {2017},
volume = {28},
number = {3},
month = {July},
issn = {1016-1104},
pages = {267--272},
numpages = {5},
keywords = {Pareto sample; Exponentiated Pareto sample; Z statistic; Dixon’s statistic; Outliers; Slippage hypothesis; Test of Chauvenet; Upper outlier.},
}

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%0 Journal Article
%T Detecting Outliers in Exponentiated Pareto Distribution
%A Jabbari Nooghabi, Mehdi
%J Journal of Sciences, Islamic Republic of Iran
%@ 1016-1104
%D 2017

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