• Randhir Singh

This paper deals with the Bayesian estimation of a function of the unknown parameter θ of the Generalized Negative Binomial Distribution (GNBD) and Generalized Logarithmic Series Distribution (GLSD).These distributions are particular cases of Modified Power Series distribution (MPSD).The prior distribution for the unknown parameter θ varies from distribution to distribution, depending upon the range of θ.On the part of loss functions, the Squared Error Loss Function (SELF) and two different forms of Weighted Squared Error Loss Function (WSELF) has been considered.

Modified Power Series distribution, Generalized Negative Binomial Distribution (GNBD), Generalized Logarithmic Series Distribution (GLSD), Bayes Estimator, Squared Error Loss Function (SELF), Weighted Squared Error Loss Function (WSELF).

"BAYESIAN ESTIMATION FUNCTION OF UNKNOWN PARAMETER OF SOME PARTICULAR CASES OF MODIFIED POWER SERIES DISTRIBUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d673-d682, July-2021, Available :http://www.jetir.org/papers/JETIR2107477.pdf

"BAYESIAN ESTIMATION FUNCTION OF UNKNOWN PARAMETER OF SOME PARTICULAR CASES OF MODIFIED POWER SERIES DISTRIBUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd673-d682, July-2021, Available at : http://www.jetir.org/papers/JETIR2107477.pdf