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A test for uniformity based on informational energy

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dc.contributor.authorPardo Llorente, María del Carmen
dc.date.accessioned2023-06-20T09:43:29Z
dc.date.available2023-06-20T09:43:29Z
dc.date.issued2003-10
dc.descriptionI would like to thank the anonymous referees for their helpful comments and some constructive suggestions
dc.description.abstractIn this paper a test of fit for uniformity based on the estimated Informational Energy is proposed. The test uses m-step spacings. The test is shown to be a consistent test of the null hypothesis. Percentage points and power against different alternatives are calculated. Finally, our test is compared with other test of uniformity.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipDGES
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/17530
dc.identifier.doi10.1007/BF02926008
dc.identifier.issn0932-5026
dc.identifier.officialurlhttp://link.springer.com/article/10.1007%2FBF02926008
dc.identifier.relatedurlhttp://link.springer.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/50251
dc.issue.number4
dc.journal.titleStatistical Papers
dc.language.isoeng
dc.page.final534
dc.page.initial521
dc.publisherSpringer Verlag
dc.relation.projectIDBMF2000-0800
dc.rights.accessRightsrestricted access
dc.subject.cdu519.22
dc.subject.keywordEmpirical Critical Points
dc.subject.keywordEmpirical Distribution Function
dc.subject.keywordEmpirical Power
dc.subject.keywordInformational Energy
dc.subject.keywordSimulation
dc.subject.keywordUniformity.
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleA test for uniformity based on informational energy
dc.typejournal article
dc.volume.number44
dcterms.referencesBhatia, P.K. (1997). On Measures of Information Energy.Information Sciences,97, 233–240. Dudewicz, E.J. and Van der Meulen, E.C. (1981). Entropy-based tests of uniformity.Journal of the American Statistical Association,76, 967–974. Fishman, G.S. (1996).Monte Carlo. Concepts, Algorithms, and Applications. Springer-Verlag. New York. Onicescu, O. (1966). Energie Informationelle.C. R. Acad. Sci. Paris. Ser. A, 841–842. Onicescu, O. and Stefanescu, V. (1979).Elemente de Statistica informationala eu aplicatii. Editura Technica. Bucarest. Pardo, M.C. (1993). Un contraste de normalidad basado en la energía informacional.Qüestiió,17, 221–233. Pardo, L. and Taneja, I.J. (1991). Information energy and its Applications.Advances in Electronic and Electron Physics (P. Hawkes, Ed.), 165–241.Academic Press. Rao, C. R. (1973).Linear Statistical Inference and its Applications. John Wiley. New York. Stephens, M.A. (1974). EDF Statistics for Goodness of Fit and Some Comparisons.Journal of the American Statistical Association,69, 730–737. Swartz, T. (1992). Goodness-of-fit tests using Kullback-Leibler information.Communications in Statistics. Theory and Methods,21, 711–729. Theodorescu, A. (1977). Energie Informationnelle et notions apparentees.Trabajos de Estadística e I.O.,27, 276–298. 12.Vasicek, O. (1976). A test for normality based on sample entropy.Journal of the Royal Statistical Society, Ser. B,38, 54–59.
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