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Analysis of the amended Davidson model with order effect for paired comparison in the Bayesian paradigm

机译:贝叶斯范式中成对比较的阶效应影响的修正Davidson模型的分析

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摘要

We commonly observe many types of paired nature of competitions in which the objects are compared by the respondents pairwise in a subjective manner. The Bayesian statistics, contrary to the classical statistics, presents a generic tool to incorporate new experimental evidence and update the existing information. These and other properties have ushered the statisticians to focus their attention on the Bayesian analysis of different paired comparison models. The present article focuses on the amended Davidson model for paired comparison in which an amendment has been introduced that accommodates the option of not distinguishing the effects of two treatments when they are compared pairwise. However, Bayesian analysis of the amended Davidson model is performed using the noninformative priors after making another small modification of incorporating the parameter of order effect factor. The joint and marginal posterior distributions of the parameters, their posterior estimates, predictive and posterior probabilities to compare the treatment parameters are obtained.
机译:我们通常会观察到许多类型的比赛配对性质,其中被访者以主观方式成对比较对象。与经典统计相反,贝叶斯统计提供了一种通用工具来合并新的实验证据并更新现有信息。这些和其他属性吸引统计学家将注意力集中在不同配对模型的贝叶斯分析上。本文着重介绍了用于配对比较的修改后的Davidson模型,其中引入了一项修正,该修正允许对两种疗法进行成对比较时不区分两种疗法的效果。但是,在对合并有序影响因子的参数进行另一小的修改之后,使用非信息先验对修正的Davidson模型进行贝叶斯分析。获得参数的联合和边缘后验分布,它们的后验估计,比较治疗参数的预测和后验概率。

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