On the glog-normal distribution and its application to the gene expression problem

Víctor Leiva, Antonio Sanhueza, Diana M. Kelmansky, Elena J. Martínez

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

12 Citas (Scopus)

Resumen

In this article, we characterized the glog-normal distribution and present a comprehensive treatment of the properties of this model. Specifically, we present the probability density function as well as a graphical analysis of this density, the cumulative distribution function and the moments for this statistical distribution. Additionally, by using likelihood methods, we estimate the parameters, carry out asymptotic inference and discuss influence diagnostics of this model. Finally, we show the usefulness of the glog-normal distribution for modeling gene expression microarray intensity data by means of a real numerical example.

Idioma originalInglés
Páginas (desde-hasta)1613-1621
Número de páginas9
PublicaciónComputational Statistics and Data Analysis
Volumen53
N.º5
DOI
EstadoPublicada - 15 mar. 2009
Publicado de forma externa

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