期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2017
卷号：13
期号：4
页码：875-891
DOI：10.18187/pjsor.v13i4.1924
语种：English
出版社：College of Statistical and Actuarial Sciences
其他摘要：A probabilistic approach to build models for paired comparison experiments based on the comparison of two Pareto variables is considered. Analysis of the proposed model is carried out in classical as well as Bayesian frameworks. Informative and uninformative priors are employed to accommodate the prior information. Simulation study is conducted to assess the suitablily and performance of the model under theoretical conditions. Appropriateness of fit of the is also carried out. Entire inferential procedure is illustrated by comparing certain cricket teams using real dataset.
关键词：Pair-wise comparisons; Pareto distribution; Bayesian Analysis; Worth parameter; ML estimates
