Implement of Hierarchical Bayes Model in Conjoint Analysis

Student: Davydov Roman

Supervisor: Mark Shaphir

Educational Programme: Sociology (Bachelor)

Final Grade: 8

Year of Graduation: 2016

This paper is an effort to investigate distinguishing types of conjoint methods and reveal benefits and drawbacks of them in connection with a set of mathematical models. We emphasize mostly the CBC conjoint wtied with Hierarchical BayesModelling. According to a situation in the sphere of marketing surveys researchers are lack of practical instructions of implementing bayesian analysis in conjoint, The paper is consequntly developing an instrument with the assisstance of R statistic and bayesm packages

Full text (added June 3, 2016)

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