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Ties in one block comparison experiments: a generalization of the Mallows-Bradley-Terry ranking model

机译:一站式比较实验中的纽带:Mallows-Bradley-Terry排名模型的一般化

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摘要

This study is concerned with the extension of the Mallows-Bradley-Terry ranking model for one block comparison consisting of all the items of interest to situations which allow an expression of no preference. We consider a modification of the Mallows-Bradley-Terry ranking model by introducing an additional parameter, called an index of discrimination, in the model. This permits ties in the model. The maximum likelihood estimates of the parameters are found using a Maximization-Minimization algorithm: the evaluation of the mathematical expectations involved in the log-likelihood equation is obtained by generating samples of Monte Carlo Markov chain from the stationary distribution. In addition, a simulation study for asymptotic properties assessment has been made. The proposed method is applied to analyze data election.
机译:这项研究与Mallows-Bradley-Terry排名模型的扩展有关,该模型用于一个块比较,其中包括所有感兴趣的情况到允许无偏好表达的情况。我们考虑通过在模型中引入称为歧视指数的附加参数来对Mallows-Bradley-Terry排名模型进行修改。这允许在模型中建立联系。使用最大化-最小化算法找到参数的最大似然估计:对数似然方程中涉及的数学期望的评估是通过从平稳分布中生成蒙特卡洛·马尔科夫链的样本获得的。另外,已经进行了渐近特性评估的仿真研究。将该方法应用于数据选择分析。

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