Abstract
Abstract In this paper, the maximum likelihood and the Bayes estimators are derived for sample from the Generalized-Exponential distribution in the presence of k outliers. These estimators are obtained using Newton-Raphson method and Lindley's approximation (L-approximation). The proposed Bayes estimators are obtained under symmetric and asymmetric loss functions. These estimators are compared empirically using Monte Carlo simulation, when all the parameters are unknown.
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