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Rényi statistics for testing equality of autocorrelation coefficients

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    SYSNO ASEP0332408
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleRényi statistics for testing equality of autocorrelation coefficients
    TitleRényiho statistiky pro testování rovnosti autokorelačních koeficientů
    Author(s) Hobza, Tomáš (UTIA-B)
    Pardo, L. (ES)
    Morales, D. (ES)
    Source TitleStatistical Methodology. - : Elsevier - ISSN 1572-3127
    Roč. 6, č. 4 (2009), s. 424-436
    Number of pages13 s.
    Publication formwww - www
    Languageeng - English
    CountryNL - Netherlands
    KeywordsRényi divergence ; Likelihood divergence statistics ; Testing hypothesis ; Autocorrelation coefficient
    Subject RIVBB - Applied Statistics, Operational Research
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    DOI10.1016/j.stamet.2009.03.001
    AnnotationThe problem of testing for equality of autocorrelation coefficients of two populations in multivariate data when errors are autocorrelated is considered. We derive Rényi statistics defined as divergences between unrestricted and restricted estimated joint probability density functions and we show that they are asymptotically chi-square distributed under the null hypothesis of interest. Monte Carlo simulation experiments are carried out to investigate the behavior of Rényi statistics and to make comparisons with test statistics based on the approach of Bhandary [M. Bhandary, Test for equality of autocorrelation coefficients for two populations in multivariate data when the errors are autocorrelated, Statistics & Probability Letters 73 (2005) 333 342] for the problem under consideration. Rényi statistics showed to have significantly better behavior.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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