A unified approach to estimating parameters in some generalized poission distributions
Title:
A unified approach to estimating parameters in some generalized poission distributions
Author:
Tripathi, Ram C. Gurland, John
Appeared in:
Communications in statistics
Paging:
Volume 15 (1986) nr. 3 pages 1017-1034
Year:
1986
Contents:
A family of distributions labelled as Poisson v Katz is formulated, which includes, as particular or limiting cases, the Negative Binomial, Neyman Type A, Poisson v Pascal, and Poisson v Binomial. Thus, while analyzing data, estimating the parameters in the Poisson v Katz family obviates the necessity of having to choose from among the particular or limiting cases. In this article minimum chi-square estimators are presented and their asymp¬totic relative efficiency obtained. An example is presented to illustrate the procedure
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