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A Distribution-Free Test for Symmetry Based on a Runs Statistic

Thomas P. McWilliams

Journal of the American Statistical Association · 1990 · Volume 85 · Issue 412

DOI: 10.1080/01621459.1990.10474985

Abstract

I present a simple test, based on a runs statistic, for symmetry of a continuous distribution about a known median. The statistic has a binomial sampling distribution and desirable invariance properties. Monte Carlo studies demonstrate that, for a wide variety of alternative asymmetric distributions, the test is more powerful than tests proposed by Butler (1969), Rothman and Woodroofe (1972), or Hill and Rao (1977).

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