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

Leiva V.; Sanhueza, A; Kelmansky, DM; Martinez, EJ

Abstract

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. © 2008 Elsevier B.V. All rights reserved.

Más información

Título según WOS: On the glog-normal distribution and its application to the gene expression problem
Título según SCOPUS: On the glog-normal distribution and its application to the gene expression problem
Título de la Revista: COMPUTATIONAL STATISTICS DATA ANALYSIS
Volumen: 53
Número: 5
Editorial: ELSEVIER SCIENCE BV
Fecha de publicación: 2009
Página de inicio: 1613
Página final: 1621
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0167947308002223
DOI:

10.1016/j.csda.2008.04.012

Notas: ISI, SCOPUS