Title :
On the asymptotic properties of a nonparametric L1-test statistic of homogeneity
Author :
Biau, Gérard ; Györfi, László
Author_Institution :
Inst. de Math., Univ. Montpellier, France
Abstract :
We present two simple and explicit procedures for testing homogeneity of two independent multivariate samples of size n. The nonparametric tests are based on the statistic Tn, which is the L1 distance between the two empirical distributions restricted to a finite partition. Both tests reject the hypothesis of homogeneity if Tn becomes large, i.e., if Tn exceeds a threshold. We first discuss Chernoff-type large deviation properties of Tn. This results in a distribution-free strong consistent test of homogeneity. Then the asymptotic distribution of the test statistic is obtained, leading to an asymptotically α-level test procedure.
Keywords :
Poisson distribution; signal sampling; statistical testing; Chernoff deviation property; asymptotic distribution; central limit theorem; consistent testing; empirical distribution; homogeneity testing; multivariate sample; nonparametric test; poissonization; statistical analysis; Analysis of variance; Electrocardiography; Electroencephalography; Parametric statistics; Probability; Size control; Speech analysis; Statistical analysis; Statistical distributions; Testing; Central limit theorem; consistent testing; homogeneity testing; large deviations; partitions; poissonization;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.856979