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Start Over Graduate Program Business Administration Year 2014 Keyword Finite Mixture Models Keyword Finite Mixture Models Keyword Heterogeneity Author Last Name Kim

1. A New Class Of Bayesian Segmentation Methods For Deriving Heterogeneous Key Drivers Of Service Quality Evaluations

open_access
Open Access
Author:
Kim, Sunghoon
Title:
A New Class Of Bayesian Segmentation Methods For Deriving Heterogeneous Key Drivers Of Service Quality Evaluations
Graduate Program:
Business Administration
Keywords:
Bayesian Regression
Market Segmentation
Variable Selection
Managerial Constraints
Finite Mixture Models
Heterogeneity
File:
Download DissertationFinal_Sunghoon.pdf
Committee Members:
Wayne Desarbo, Dissertation Advisor/Co-Advisor
Duncan Fong, Committee Chair/Co-Chair
Dennis Kon Jin Lin, Committee Member
Murali Haran, Special Member
Johann Baumgartner, Committee Member

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