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A statistical information theory approach to compare the homogeneity of several variances

dc.contributor.authorPardo Llorente, Julio Ángel
dc.contributor.authorPardo Llorente, María del Carmen
dc.contributor.authorVicente, M.L.
dc.contributor.authorEsteban, M.D.
dc.date.accessioned2023-06-20T17:07:47Z
dc.date.available2023-06-20T17:07:47Z
dc.date.issued1997-06-05
dc.description.abstractOn the basis of the informational energy an alternative test of homogeneity of variances in samples from normal populations is developed. In addition, several of the more well-known statistics for performing this type of analysis and the new test proposed here are compared in a Monte Carlo study.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipDGICYT
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/17765
dc.identifier.doi10.1016/S0167-9473(96)00080-1
dc.identifier.issn0167-9473
dc.identifier.officialurlhttp://www.sciencedirect.com/science/article/pii/S0167947396000801
dc.identifier.relatedurlhttp://www.sciencedirect.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57815
dc.issue.number4
dc.journal.titleComputational Statistics and Data Analysis
dc.language.isoeng
dc.page.final416
dc.page.initial411
dc.publisherElsevier Science
dc.relation.projectIDPB94-0308
dc.relation.projectIDPB93-0022
dc.rights.accessRightsrestricted access
dc.subject.cdu519.22
dc.subject.keywordTest for homogeneity of variances
dc.subject.keywordInformational energy
dc.subject.keywordMonte Carlo simulation
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleA statistical information theory approach to compare the homogeneity of several variances
dc.typejournal article
dc.volume.number24
dcterms.referencesBartlett, M.S., Properties of sufficiency and statistical tests, Proc. Roy. Soc. Ser. A, 160 (1937) 268-282. Bickel, P.J. and K.A. Doksum, Mathematical statistics: Basic ideas and selected topics (Holden-Day, San Fransisco, CA, 1977). Box, G.E.P., Non-normality and test on variance, Biometrika, 40 (1953) 318-335. Conover, W.J., M.E. Johnson and M.M. Johnson, A comparative study of tests for homogeneity of variances, with applications to the outer continental shelf bidding data, Technometrics, 23 (1981) 351-361. Games, P.A., H.B. Winkler and D.A. Probert, Robust test for homogeneity of variance, Educ. Psychol. Meas., 32 (1972) 887-909. Gartside, P.S., A study of methods for comparing several variances, J. Amer. Statist. Assoc., 67 (1972) 342-346. Hartley, H.O., The maximum F-ratio as a short-cut test for heterogeneity of variance, Biometrika, 37 (1950) 308-312. Layard, M.W.J., Robust large-sample test for homogeneity of variances, J. Amer. Statist. Assoc., 68 (1973) 195-198. Morales D., M.L. Menéndez, M. Salicrú and L. Pardo, Asymptotic properties of divergence statistics in a stratified random sampling and its applications to test statistical hypotheses, J. Statist. Plann. Inference, 38 (1994) 201-222. Neyman, J. and E.S. Pearson, On the problem of k samples, Bull. Acad. Polon. Sci. Lett. Ser. A, 460-481. Salicrú M., L. Pardo, D. Morales and M.L. Menéndez, Asymptotic distributions of (h, phi)-entropies, Comm. Statist., 22 (1993) 2015-2031.
dspace.entity.typePublication
relation.isAuthorOfPublication5e051d08-2974-4236-9c25-5e14369a7b61
relation.isAuthorOfPublication.latestForDiscovery5e051d08-2974-4236-9c25-5e14369a7b61

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