Abstract
A large body of theory exists for statistics based on gaps or spacings. A natural generalization to gaps of higher order leads to statistics for testing uniformity which have higher power. In particular the null and alternative distributions of the minimum gap statistic are derived and the power of the test is seen to increase withm.

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