A class of multiple sample tests based on empirical coverages |
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| Authors: | P. W. Mielke Jr. Y. C. Yao |
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| Affiliation: | (1) Department of Statistics, Colorado State University, 80523 Fort Collins, CO, U.S.A. |
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| Abstract: | A class of multiple sample tests based on empirical coverages is proposed which is a generalization of Greenwood's and Sherman's one-sample goodness-of-fit test statistics. The asymptotic normality of the tests is established by embedding the empirical coverages into a stationary process satisfying the strong mixing condition. |
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| Keywords: | Spacing strong mixing condition asymptotic normality |
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