• 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