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Goodness-of-fit tests based on K-phi-divergence

dc.contributor.authorPérez, Teresa
dc.contributor.authorPardo Llorente, Julio Ángel
dc.date.accessioned2023-06-20T17:07:24Z
dc.date.available2023-06-20T17:07:24Z
dc.date.issued2003
dc.description.abstractIn this paper a new family of statistics based on K-phi-divergence for testing goodness-of-fit under composite null hypotheses axe considered. The asymptotic distribution of this test is obtained when the unspecified parameters axe estimated by maximum likelihood as well as minimum K-phi-divergence.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/17724
dc.identifier.issn0023-5954
dc.identifier.officialurlhttp://www.kybernetika.cz/content/2003/6/739
dc.identifier.relatedurlhttp://www.kybernetika.cz/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57806
dc.issue.number6
dc.journal.titleKybernetika
dc.language.isoeng
dc.page.final752
dc.page.initial739
dc.publisherKybernetika
dc.rights.accessRightsrestricted access
dc.subject.cdu519.234
dc.subject.keywordK-phi-divergence
dc.subject.keywordgoodness-of-fit
dc.subject.keywordminimum K-phi-divergence estimate
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleGoodness-of-fit tests based on K-phi-divergence
dc.typejournal article
dc.volume.number39
dcterms.referencesN. W. Birch: A new proof of the Pearson-Fisher theorem. Ann. Math. Statist. 55(1964),817-824. Y. M. M. Bishop, S. E. Fienberg, and P. W. Holland: Discrete Multivariate Analysis: Theory and Practice. MIT Press, Cambridge, MA 1975. J. Burbea: J-divergences and related topics. Encyclopedia Statist. Sci. 44 (1983), 290-296. J. Burbea and C. R. Rao: On the convexity of some divergence measures based on entropy functions. IEEE Trans. Inform. Theory 28 (1982), 489-495. N. Cressie and T.R. C: Multinomial Goodness-of-fit Tests. J. Roy. Statist. Soc Ser. B 40(1984), 440-464. I. Csiszar: Information-type measures of difference of probability distributions and indirect observations. Studia Sci. Math. Hungar. 2 (1967), 299-318. D. A. S. Fraser: Nonparametric methods in Statistics. Wiley, New York 1957. J. C. Fryer and C. A. Robertson: A comparison of some methods for estimating mixed normal distributions. Biometrika 59 (1972), 639-648. D. Morales, L. Pardo, and I. Vajda: Asymptotic divergence of estimates of discrete distributions. J. Statist. Plann. Inference 48 (1995), 347-369. M. C. Pardo: On Burbea-Rao divergence based goodness-of-fit tests for multinomial models. J. Multivariate Anal. 69 (1999), 65-87. T. Perez and J. A. Pardo: The K-phi-divergence statistics for categorical data problem. Submitted. T. Perez and J. A. Pardo: Minimum K-phi-divergence estimator. Appl. Math. Lett, (to appear). C.R. Rao: Diversity and dissimilarity coefficients: a unified approach. J. Theoret. Population Biology 21 (1982), 24-43. J. N. K. Rao and A. J. Scott: The analysis of categorical data from complex sample surveys: chi-squared tests for goodness of fit and independence in two-way tables. J. Amer. Statist. Assoc. 76 (1981), 221-230. T. R. C. Read and N. A. C. Cressie: Goodness of fit Statistics for discrete multivariate data. Springer-Verlag, Berlin 1988. T. Vajda and K. Vasek: Majorization, concave entropies, and comparison of experiments. Prob. Control Inform. Theory 14 (1985), 105-115. K. Zografos, K. Ferentinos, and T. Papaioannou: (phi-divergence statistics: sampling properties and multinomial goodness of fit divergence tests. Comm. Statist. Theory Methods 19 (1990), 5, 1785-1802.
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relation.isAuthorOfPublication5e051d08-2974-4236-9c25-5e14369a7b61
relation.isAuthorOfPublication.latestForDiscovery5e051d08-2974-4236-9c25-5e14369a7b61

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