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
Link To Document :
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