Abstract
This article considers a discrete distribution that arises as the dominant solution of a linear difference equation. Basic properties and various chance mechanisms that lead to this distribution are given. In particular, its formulation as a weighted distribution and a mixed Poisson process are proposed. Parameter estimation by (a) using a combination of observed frequencies and moments and (b) maximum likelihood are examined. An example of goodness of fit is considered.
Mathematics Subject Classification:
Acknowledgment
The authors wish to thank the referee and Associate Editor for their insightful comments which led to a greatly improved article.
Notes
NNBD: = 0.2403,
= 0.0001,
= 2.3811. Extended NNBD:
= 0.1023,
= 0.0235,
= 5.1605,
= 14.7001.