On the Bayes estimators of the parameters of size-biased generalized power series distributions

Peer Bilal Ahmad

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 12, 3612-3624

Abstract: In this paper, we derive the Bayes estimators of functions of parameters of the size-biased generalized power series distribution under squared error loss function and weighted square error loss function. The results of size-biased GPSD are then used to obtain particular cases of the size-biased negative binomial, size-biased logarithmic series, and size-biased Poisson distributions. These estimators are better than the classical minimum variance unbiased estimators in the sense that they increase the range of the estimation. Finally, an example is provided to illustrate the results and a goodness of fit test is done using the maximum likelihood and Bayes estimators.

Date: 2016
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DOI: 10.1080/03610926.2014.904353

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