Jump to content

U-statistic

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by 128.135.149.5 (talk) at 21:15, 26 August 2008. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The term U-statistic, due to Hoeffding (1948), is defined as follows. Let be a real-valued or complex-valued function of variables. For each the associated U-statistic is equal to the average over ordered samples of size of the sample values . In other words, , the average being taken over distinct ordered samples of size taken from . Each U-statistic is necessarily a symmetric function.

U-statistics are very natural in statistical work, particularly in Hoeffding's context of independent and identically distributed random variables. They also arise naturally in the context of simple random sampling from a finite population, where the defining property is termed `inheritance on the average'. Fisher's -statistics and Tukey's polykays are examples of homogeneous polynomial U-statistics (Fisher, 1929; Tukey, 1950). For a simple random sample of size taken from a population of size , the U-statistic has the property that the average over sample values is exactly equal to the population value .

Some examples: If the U-statistic is the sample mean.

If , the U-statistic is the mean pairwise deviation , defined for .

If , the U-statistic is the sample variance with divisor , defined for .

The third -statistic , the sample skewness defined for , is a U-statistic.


References

Fisher, R.A. (1929) Moments and product moments of sampling distributions. Proceedings of the London Mathematical Society, 2, 30:199-238.

Hoeffding, W. (1948) A class of statistics with asymptotically normal distributions. Annals of Statistics, 19:293-325.

Lee, A.J. (1990) U-Statistics: Theory and Practice. Marcewl Dekker, New York. pp320 ISBN 0824782534

Tukey, J.W. (1950) Some Sampling Simplified. J. Amer. Statist. Assoc. 45:501-519.