Simulation MLE of Parameters of the Mixture Distribution in the Presence of Two Outliers

Einolah Deiri

Abstract


In the presence paper, we deal with the estimation of parameters of the Exponentiated Gamma (EG) distribution with presence of multiple(r=2) outliers. The maximum likelihood and moment of the estimators are derived. These estimators are compared empirically using Monte Carlo simulation when all the parameters are unknown. There bias and MSE are investigated with help of numerical technique.


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DOI: http://dx.doi.org/10.18187/pjsor.v10i4.560

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Title

Simulation MLE of Parameters of the Mixture Distribution in the Presence of Two Outliers

Keywords


Description

In the presence paper, we deal with the estimation of parameters of the Exponentiated Gamma (EG) distribution with presence of multiple(r=2) outliers. The maximum likelihood and moment of the estimators are derived. These estimators are compared empirically using Monte Carlo simulation when all the parameters are unknown. There bias and MSE are investigated with help of numerical technique.


Date

2014-12-31

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 10 No. 4, 2014



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810