Statistical models of ballot truncation in ranked choice elections

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Communications in Statistics-Simulation and Computation Pub Date : 2024-09-14 DOI:10.1080/03610918.2024.2397032
Christina Hoffman, Jakini Auset Kauba, Julie C. Reidy, Thomas Weighill
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Abstract

We introduce and study two new statistical models of ballot truncation – the process wherein voters neglect to rank every candidate during ranked choice voting (RCV). These models allow the incorpo...
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排序选择选举中选票截断的统计模型
我们引入并研究了两种新的选票截断统计模型--在排序选择投票(RCV)过程中,选民会忽略对每个候选人的排序。这些模型允许在选票中加入...
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来源期刊
CiteScore
2.50
自引率
11.10%
发文量
240
审稿时长
6 months
期刊介绍: The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
期刊最新文献
Adjusted curves for clustered survival and competing risks data. Joint modeling of mixed skewed longitudinal responses using convolution of normal and log-normal distributions: a Bayesian approach Bayes factors for longitudinal model assessment via power posteriors Statistical models of ballot truncation in ranked choice elections Memory-type time-between-events charts using nonhomogeneous Poisson process
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