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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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