DocumentCode :
2451472
Title :
Using Bayesian Dominance Hierarchies to Determine Predictor Importance in Service Research Predictive Studies
Author :
Xiaoyin Wang ; Duverger, P. ; Bansal, H.S.
Author_Institution :
Coll. of Sci. & Math, Towson Univ., Towson, MD, USA
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
40
Lastpage :
45
Abstract :
Empirical results in business research derived from multiple linear regression models are often susceptible to issues of dimensionality and multicollinearity. We extend the current research practices for addressing multicollinearity by introducing an original method, Bayesian Dominance Hierarchy (BDH) to determine the relative importance of predictors in a multiple regression context.
Keywords :
Bayes methods; commerce; regression analysis; BDH; Bayesian dominance hierarchies; business research; linear regression; predictor importance; service research predictive studies; Analytical models; Bayesian methods; Biological system modeling; Business; Context; Educational institutions; Predictive models; Bayesian; Dominance Analysis; Marketing Research Model; Predictor Importance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Sciences (IJCSS), 2012 International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1992-8
Type :
conf
DOI :
10.1109/IJCSS.2012.68
Filename :
6227792
Link To Document :
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