This paper deals with the Bayesian estimation of a function of the unknown parameter 0 of Modified Power Series distribution. These estimates have similar forms as the classical MVUE given by Gupta (1977), but are better than MVUV in the sense ,that they increase the range of estimation.The prior distribution for the unknown parameter 0 varies from distribution to distribution, depending upon the range of 0.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.

Keywords : Modified Power Series Distribution, Bayes Estimator, Squared Error Loss Function, Weighted Squared Error Loss Function