Power of tests for uniformity when limits are unknown

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 A table of mostly unpublished quantiles is given and continuous power curves are plotted.

MoreLess

Year of publication:	1997
Authors:	Schader, Martin ; Schmid, Friedrich
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 24.1997, 2, p. 193-206
Publisher:	Taylor & Francis Journals

More details

Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005458166