Proposes a probabilistic model using pairwise dominance probabilities and a Worst Best rank method to add formal confidence intervals and robustness to missing data for deterministic rankings.
Recent research has focused on asymptotic theories (Jang 3 et al., 2018; Han and Xu, 2023; Fan et al.
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Ranking with Confidence: A Probabilistic Framework for Deterministic Ranking Methods
Proposes a probabilistic model using pairwise dominance probabilities and a Worst Best rank method to add formal confidence intervals and robustness to missing data for deterministic rankings.