| Abstract: | Abstract The presence of a maverick judge, one whose rankings differ greatly from the other members of a panel, can result in incorrect rankings and a sense of unfairness among contestants. We develop and explore the properties of a likelihood ratio test, assuming a Mallows type distribution, for the presence of a maverick judge when each judge selects his or her best k out of n objects, k ≤ n. Detection of a maverick judge, who may be viewed as a multivariate outlier, turns out to be very difficult unless the judges are very consistent and there are repeat observations on the panel. |
