Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52532
Título: The Poisson-conjugate Lindley mixture distribution
Autores/as: Gómez-Déniz, E. 
Calderín-Ojeda, E.
Clasificación UNESCO: 53 Ciencias económicas
1206 Análisis numérico
Palabras clave: EM algorithm
Geometric distribution
Mixture
Natural exponential family
Fecha de publicación: 2016
Publicación seriada: Communications in Statistics - Theory and Methods 
Resumen: 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.
URI: http://hdl.handle.net/10553/52532
ISSN: 0361-0926
DOI: 10.1080/03610926.2014.892134
Fuente: Communications in Statistics - Theory and Methods [ISSN 0361-0926], v. 45 (10), p. 2857-2872
Colección:Artículos
miniatura
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