Title
Parameters Estimation for a New Generalized Geometric Distribution.
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 services is given.
Year
DOI
Venue
2015
10.1080/03610918.2013.835410
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
Field
DocType
Covariate,EM algorithm,Generalized exponential distribution,Geometric distribution,Health services,Mixed Poisson distributions,Special function,62F10,62E17,62F07
Compound Poisson distribution,Econometrics,Unimodality,Log-Cauchy distribution,Generalized integer gamma distribution,Distribution fitting,Univariate distribution,Exponential distribution,Half-normal distribution,Statistics,Mathematics
Journal
Volume
Issue
ISSN
44
8
0361-0918
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Emilio Gómez-Déniz143.59
enrique calderinojeda201.01