Journal article

The Poisson-conjugate Lindley mixture distribution

E Gómez-Déniz, E Calderín-Ojeda

Communications in Statistics - Theory and Methods | Taylor & Francis: STM, Behavioural Science and Public Health Titles | Published : 2016

Abstract

A new discrete distribution that depends on two parameters is introduced in this article. From this new distribution the geometric distribution is obtained as a special case. After analyzing some of its properties such as moments and unimodality, recurrences for the probability mass function and differential equations for its probability generating function are derived. In addition to this, parameters are estimated by maximum likelihood estimation numerically maximizing the log-likelihood function. Expected frequencies are calculated for different sets of data to prove the versatility of this discrete model.

University of Melbourne Researchers

Grants

Awarded by MICINN (Spain)


Funding Acknowledgements

EGD thanks MICINN (Spain) (project ECO2009-14152) for partial support of this work. The authors are indebted to the Associate Editor and the anonymous referees for helpful comments which, without (a) doubt, helped to improve an earlier version of this article.