Statistical comparison of aggregation rules for votes
If individual voters observe the true ranking on a set of alternatives with error, then the problem of aggregating their observations is one of statistical inference. This study develops a statistical methodology that can be used to evaluate the properties of a given voting or aggregation rule. These techniques are then applied to some well-known rules.
Year of publication: |
2009
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Authors: | Truchon, Michel ; Gordon, Stephen |
Published in: |
Mathematical Social Sciences. - Elsevier, ISSN 0165-4896. - Vol. 57.2009, 2, p. 199-212
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Publisher: |
Elsevier |
Keywords: | Vote aggregation Ranking rules Maximum likelihood Optimal inference Monte Carlo |
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