The Annals of Mathematical Statistics

Consistency of Certain Two-Sample Tests

J. R. Blum and Lionel Weiss

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Abstract

Let $X_1, \cdots, X_m; Y_1, \cdots, Y_n$ be independently distributed on the unit interval. Assume that the $X$'s are uniformly distributed and that the $Y$'s have an absolutely continuous distribution whose density $g(y)$ is bounded and has at most finitely many discontinuities. Let $Z_0 = 0, Z_{n + 1} = 1$, and let $Z_1 < \cdots < Z_n$ be the values of the $Y$'s arranged in increasing order. For each $i = 1, \cdots, n + 1$ let $S_i$ be the number of $X$'s which lie in the interval $\lbrack Z_{i - 1}, Z_i\rbrack$. For each nonnegative integer $r$, let $Q_n(r)$ be the proportion of values among $S_1, \cdots, S_{n + 1}$ which are equal to $r$. Suppose $m$ and $n$ approach infinity in the ratio $(m/n) = \alpha > 0$. In Section 2 it is shown that $$\operatornamewithlimits{\lim}{n \rightarrow \infty} \operatornamewithlimits{\sup}{r \geqq 0} |Q_n(r) - Q(r)| = 0$$ with probability one, where $$Q(r) = \alpha^r \int^1_0 \frac{g^2(y)}{\lbrack\alpha + g(y)\rbrack^{r + 1}}dy.$$ This result may be used to prove consistency of certain tests of the hypothesis that the two samples have the same continuous distribution. Several such examples are given in Section 3. A further property of one of these tests is briefly discussed in Section 4.

Article information

Source
Ann. Math. Statist., Volume 28, Number 1 (1957), 242-246.

Dates
First available in Project Euclid: 27 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aoms/1177707048

Digital Object Identifier
doi:10.1214/aoms/1177707048

Mathematical Reviews number (MathSciNet)
MR84956

Zentralblatt MATH identifier
0087.14601

JSTOR
links.jstor.org

Citation

Blum, J. R.; Weiss, Lionel. Consistency of Certain Two-Sample Tests. Ann. Math. Statist. 28 (1957), no. 1, 242--246. doi:10.1214/aoms/1177707048. https://projecteuclid.org/euclid.aoms/1177707048


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