• 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