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
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