Minimum variance unbiased estimation for modified power series distribution

1 January 1980

journal article
research article
Published by Taylor & Francis in Communications in Statistics - Theory and Methods

Vol. 9 (12) , 1261-1275
https://doi.org/10.1080/03610928008827957

Abstract

In this paper we study the problem of finding the minimum variance unbiased (MVU) estimators of the functions of the para-meters of the modified power series distributions (MPSD). A theorem giving the necessary and sufficient conditions for the existence of the MVU estimators has been proved. Also, the estimators for a number of estimable functions of a parameter are obtained. Two other theorems dealing with the MVU estimation of the left truncated MPSD with unknown truncation point are also given. The particular case of the Lagrangian Poisson, the Lagrangian binomial and the Borel-Tanner distributions are considered and tables are also provided for the MVU estimators for some functions of the parameters. The variances of the estimators are also given for some cases.

Keywords

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