TY - JOUR
T1 - On the glog-normal distribution and its application to the gene expression problem
AU - Leiva, Víctor
AU - Sanhueza, Antonio
AU - Kelmansky, Diana M.
AU - Martínez, Elena J.
N1 - Funding Information:
The authors wish to thank the editor, guest editor and referees for their helpful comments that aided in improving this article. This study was partially supported by FONDECYT 1080326, DIPUV 50-2007 and DIUFRO DI08-0061 grants, Chile, and X094 grant from the Universidad de Buenos Aires, Argentina.
PY - 2009/3/15
Y1 - 2009/3/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=60349083691&partnerID=8YFLogxK
U2 - 10.1016/j.csda.2008.04.012
DO - 10.1016/j.csda.2008.04.012
M3 - Article
AN - SCOPUS:60349083691
SN - 0167-9473
VL - 53
SP - 1613
EP - 1621
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
IS - 5
ER -