On Approximate Confidence Intervals for Measures of Concordance.
SOUTHERN METHODIST UNIV DALLAS TEX DEPT OF STATISTICS
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The use of U-statistics based on rank correlation coefficients in estimating the strength of concordance among a group of rankers is examined for cases where the null hypothesis of random rankings is not tenable. The studentized U-statistic is asymptotically distribution-free, and the Student-t approximation is used for small and moderate sized samples. An approximate confidence interval is constructed for the strength of concordance. Monte Carlo results indicate that the Student-t approximation can be improved by estimating the degrees of freedom. Author
- Statistics and Probability