A Robust Criterion for Checking the Uniformity of Two Non-Gaussian Samples with Respect to Variances

A Robust Criterion for Checking the Uniformity of Two Non-Gaussian Samples with Respect to Variances

A robust F-criterion for checking the uniformity with respect to the variances of two non-Gaussian samples is obtained and investigated. Theoretical algorithms are developed and considered. The effectiveness and efficiency of the proposed criterion for known distribution kurtoses are illustrated usi...

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Veröffentlicht in:Measurement techniques 2005-02, Vol.48 (2), p.112-117
Hauptverfasser: Ivanov, G. A., Ponomarchuk, Yu. V., Chashkin, Yu. R.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Criteria
Non-Gaussian
Studies
Variability
Variance analysis
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Zusammenfassung:A robust F-criterion for checking the uniformity with respect to the variances of two non-Gaussian samples is obtained and investigated. Theoretical algorithms are developed and considered. The effectiveness and efficiency of the proposed criterion for known distribution kurtoses are illustrated using specific examples.[PUBLICATION ABSTRACT]
ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-005-0107-z