DocumentCode
1203649
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
Volume
51
Issue
11
fYear
2005
Firstpage
3965
Lastpage
3973
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;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2005.856979
Filename
1522654
Link To Document