## The Annals of Mathematical Statistics

### K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests

J. Kiefer

#### Abstract

The main purpose of this paper is to obtain the limiting distribution of certain statistics described in the title. It was suggested by the author in [1] that these statistics might be useful for testing the homogeneity hypothesis $H_1$ that $k$ random samples of real random variables have the same continuous probability law, or the goodness-of-fit hypothesis $H_2$ that all of them have some specified continuous probability law. Most tests of $H_1$ discussed in the existing literature, or at least all such tests known to the author before [1] in the case $k > 2$, have only been shown to have desirable consistency or power properties against limited classes of alternatives (see e.g., [2], [3], [4] for lists of references on these tests), while those suggested here are shown to be consistent against all alternatives and to have good power properties. Some test statistics whose distributions can be computed from known results are also listed.

#### Article information

Source
Ann. Math. Statist., Volume 30, Number 2 (1959), 420-447.

Dates
First available in Project Euclid: 27 April 2007

https://projecteuclid.org/euclid.aoms/1177706261

Digital Object Identifier
doi:10.1214/aoms/1177706261

Mathematical Reviews number (MathSciNet)
MR102882

Zentralblatt MATH identifier
0134.36707

JSTOR