The Bayesian estimators for the parameters of the Pareto distribution that are optimal relative to asymmetric loss functions are derived on the basis of a censored sample. The parameters of interest are the shape parameter or the famous index of equality, the scale parameter as well as the reliability function. The statistical performance of the LINEX and quadratic Bayes estimators of the shape parameter are compared via Monte Carlo simulation through their risk functions relative to both LINEX and quadratic loss functions.
Amin, Z. (2004). Bayesian Estimation for Pareto Populations Under Asymmetric Loss Functions. The Egyptian Statistical Journal, 48(2), 114-129. doi: 10.21608/esju.2004.313768
MLA
Zeinb H. Amin. "Bayesian Estimation for Pareto Populations Under Asymmetric Loss Functions", The Egyptian Statistical Journal, 48, 2, 2004, 114-129. doi: 10.21608/esju.2004.313768
HARVARD
Amin, Z. (2004). 'Bayesian Estimation for Pareto Populations Under Asymmetric Loss Functions', The Egyptian Statistical Journal, 48(2), pp. 114-129. doi: 10.21608/esju.2004.313768
VANCOUVER
Amin, Z. Bayesian Estimation for Pareto Populations Under Asymmetric Loss Functions. The Egyptian Statistical Journal, 2004; 48(2): 114-129. doi: 10.21608/esju.2004.313768
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