• DocumentCode
    3103510
  • Title

    Asymptotic distribution of the Hermite normality test

  • Author

    Declercq, David ; Duvant, P.

  • Author_Institution
    ENSEA-ETIS, Cergy-Pontoise, France
  • fYear
    1997
  • fDate
    21-23 Jul 1997
  • Firstpage
    425
  • Lastpage
    429
  • Abstract
    This paper presents some asymptotical results of the Hermite normality test previously introduced. We show that the Hermite statistic SH is distributed under the null hypothesis as a quadratic form of normal variates and under the nonnull hypothesis as normal. The special case of tests with two polynomials is studied in detail. Finally, we give some considerations for the choice of the best Hermite test when prior knowledge is available and especially we determine the test asymptotically the most powerful for a fixed alternative distribution (the uniform distribution). Those results are supported by simulations
  • Keywords
    polynomials; signal processing; statistical analysis; Hermite normality test; asymptotic distribution; nonnull hypothesis; normal variates; null hypothesis; polynomials; quadratic form; uniform distribution; Covariance matrix; Gaussian distribution; Polynomials; Probability distribution; Sections; Signal processing; Statistical analysis; Statistical distributions; Tensile stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-8005-9
  • Type

    conf

  • DOI
    10.1109/HOST.1997.613560
  • Filename
    613560