Abstract
Ranking data are often encountered in practice when judges (or individuals) are asked to rank a set of t items, which may be political goals, candidates in an election, types of food, etc. We see examples in voting and elections, market research, and food preference just to name a few. By studying ranking data, we can understand the judges’ perception and preferences on the ranked alternatives.
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Alvo, M., Yu, P.L.H. (2018). Bayesian Models for Ranking Data. In: A Parametric Approach to Nonparametric Statistics. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-94153-0_11
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DOI: https://doi.org/10.1007/978-3-319-94153-0_11
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