EconPapers    
Economics at your fingertips  
 

Entropy correlation coefficient for measuring predictive power of generalized linear models

Nobuoki Eshima and Minoru Tabata

Statistics & Probability Letters, 2007, vol. 77, issue 6, 588-593

Abstract: By considering properties of generalized linear models (GLMs), a correlation coefficient, which is referred to as the entropy multiple correlation coefficient, is proposed as a predictive power measure of GLMs. This correlation coefficient is a measure of linearity of response variables and the canonical parameters, and can be viewed as the proportion of reduced uncertainty of response variables by explanatory variables.

Keywords: Entropy; Entropy; multiple; correlation; coefficient; Generalized; linear; model; Kullback-Leibler; information (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00273-2
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:77:y:2007:i:6:p:588-593

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:77:y:2007:i:6:p:588-593