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  • 标题:Choice-Based Conjoint Analysis: A Bayesian Approach
  • 本地全文:下载
  • 作者:Eduardo Campana BARBOSA ; Carlos Henrique Osório SILVA ; Moysés NASCIMENTO
  • 期刊名称:Revista Brasileira de Biometria
  • 印刷版ISSN:0102-0811
  • 电子版ISSN:1983-0823
  • 出版年度:2018
  • 卷号:36
  • 期号:1
  • 页码:1-19
  • DOI:10.28951/rbb.v36i1.102
  • 出版社:Universidade Federal de Lavras
  • 摘要:This paper presents a Bayesian approach to Frequentist Logit Multinomial model used in Choice-based Conjoint Analysis.The analysis was conducted with data of choice for the assessment by 144 consumers, eight samples of light strawberry flavored yogurts, ranging information from three ingredients (sugar, fat and protein) in a full factorial design.the results and inferences obtained by the Bayesian approach are presented in terms of estimating the main effect of the attributes, the choice probabilities and choice ratio.The frequentist results are also reported and discussed.The Bayesian analysis showed similar results to frequentist and allowed the construction of credibility intervals for choice probabilities and choice ratio, allowing statistically compare such quantities.About the practical results, the most likely choice was associated with yoghurt containing strawberry flavor light information "0% sugar", "0% fat" and "bioactive proteins enriched".
  • 关键词:Modelo Logit Multinomial; fatorial; escolha por iogurtes.
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