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Poisson process and distribution-free statistics

Published online by Cambridge University Press:  01 July 2016

Meyer Dwass
Meyer Dwass*
Affiliation:
Northwestern University, Evanston, Illinois
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Abstract

The well-known connection between the Poisson process and empirical c.d.f.'s is exploited from a new point of view. Distributions of functions of empirical c.d.f.'s for finite sample size n are explicitly described in some new examples, and new qualitative information is obtained for some classical examples.

Keywords

POISSON PROCESSEMPIRICAL CDFKOLMOGOROV-SMIRNOV STATISTICSDISTRIBUTION-FREE STATISTICS
Type
Research Article
Information
Advances in Applied Probability , Volume 6 , Issue 2 , June 1974 , pp. 359 - 375
Copyright
Copyright © Applied Probability Trust 1974 

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References

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