Journal article
Parameters estimation for a new generalized geometric distribution
E Gómez-Déniz, E Calderín-Ojeda
Communications in Statistics Simulation and Computation | TAYLOR & FRANCIS INC | Published : 2015
Abstract
A generalization of the geometric distribution is obtained after mixing the Poisson distribution with the generalized exponential distribution in Marshall and Olkin in 1997. The discrete distribution is defined through a new special function also introduced in this manuscript. Unimodality is highlighted among the properties of this two-parameter distribution. A favorable maximum likelihood parameter estimation scheme for the discrete distribution is introduced based on a quadrature method by approximating the special function by the trapezoidal rule. The effectiveness of the method is confirmed by expectation-maximization (EM) algorithm. An application to explain the demand for health servic..
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Funding Acknowledgements
This research was partially funded by EGD: ECO2009-14152 (MICINN, Spain).