BAYES ESTIMATION OF SCALE PARAMETER IN GENERALIZED PARETO DISTRIBUTION

  • Parul Setiya Deptt. of Statistics, Kumaun University, Nainital, India
  • Vinod Kumar Deptt. of Mathematics, Statistics and Computer Science G. B. Pant University of Agriculture and Technology, Pantnagar, India
Keywords: Bayes Estimator, Prior, Scale Parameter, Squared Error Loss Function and Asymmetric Precautionary Loss Function

Abstract

Bayes estimators of the scale parameter (p) with known location parameter (μ) and fixed shape parameter (k) of generalized Pareto model are obtained for different priors using Squared Error Loss Function (SELF) and Asymmetric Precautionary Loss Function (APLF) through Lindley’s approach. The calculations have been illustrated with the help of a real data set.

 

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Published
2016-06-10
Section
Articles