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  • 标题:Paired Comparison Analysis of the van Baaren Model Using Bayesian Approach with Noninformative Prior
  • 本地全文:下载
  • 作者:Saima Altaf ; Muhammad Aslam ; Muhammad Aslam
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2012
  • 卷号:8
  • 期号:2
  • 页码:259-270
  • DOI:10.1234/pjsor.v8i2.237
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:800x600 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} One technique being commonly studied these days because of its attractive applications for the comparison of several objects is the method of paired comparisons. This technique permits the ranking of the objects by means of a score, which reflects the merit of the items on a linear scale. The present study is concerned with the Bayesian analysis of a paired comparison model, namely the van Baaren model VI using noninformative uniform prior. For this purpose, the joint posterior distribution for the parameters of the model, their marginal distributions, posterior estimates (means and modes), the posterior probabilities for comparing the two treatment parameters and the predictive probabilities are obtained.
  • 关键词:Bayesian hypothesis testing;Noninformative priors;Posterior distribution;Predictive probability.
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