Title : ( Efficient Estimation of the Parameters of the Pareto Distribution in the Presence of Outliers )
Authors: U. J. Dixit , Mehdi Jabbari Nooghabi ,
Full TextAbstract
The moment(MM) and least squares(LS) estimations of the parameters are derived for the Pareto distribution in the presence of outliers. Further, we have derived a mixture method(MIX) of estimations with MM and LS that shows that the MIX is more efficient. In the final section we have given an example of actual data from a medical insurance company.
Keywords
, Pareto distribution, maximum likelihood estimator, moment estimator, least squares estimation, mixture method, outliers, insurance.
@article{paperid:1030769,
author = {U. J. Dixit and Jabbari Nooghabi, Mehdi},
title = {Efficient Estimation of the Parameters of the Pareto Distribution in the Presence of Outliers},
journal = {Communications of the Korean statistical society},
year = {2011},
volume = {18},
number = {6},
month = {August},
issn = {1225-9500},
pages = {817--835},
numpages = {18},
keywords = {Pareto distribution; maximum likelihood estimator; moment estimator; least squares
estimation; mixture method; outliers; insurance.},
}
%0 Journal Article
%T Efficient Estimation of the Parameters of the Pareto Distribution in the Presence of Outliers
%A U. J. Dixit
%A Jabbari Nooghabi, Mehdi
%J Communications of the Korean statistical society
%@ 1225-9500
%D 2011
