Power of tests for uniformity when limits are unknown

Martin Schader and Friedrich Schmid

Journal of Applied Statistics, 1997, vol. 24, issue 2, 193-206

Abstract: Power of modifications of the Kolmogorov, Cramer-von Mises, Watson and Anderson-Darling tests for testing uniformity when limits are unknown is compared. Power is computed by Monte Carlo simulation within one-parameter families of alternative distributions containing the uniform distribution as a special case. A table of mostly unpublished quantiles is given and continuous power curves are plotted.

Date: 1997
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DOI: 10.1080/02664769723800

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