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

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  • Peer Bilal Ahmad

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.

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  • Peer Bilal Ahmad, 2016. "On the Bayes estimators of the parameters of size-biased generalized power series distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(12), pages 3612-3624, June.
    • Handle: RePEc:taf:lstaxx:v:45:y:2016:i:12:p:3612-3624
    DOI: 10.1080/03610926.2014.904353
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