Tests for bivariate symmetry against ordered alternatives in square contingency tables

dc.contributor.authorMenéndez Calleja, María Luisa
dc.contributor.authorPardo Llorente, Julio Ángel
dc.contributor.authorPardo Llorente, Leandro
dc.date.accessioned2023-06-20T09:43:27Z
dc.date.available2023-06-20T09:43:27Z
dc.date.issued2003-03
dc.description.abstractLet X and Y denote two ordinal response variables, each having I levels. When subjects are classified on both variables, there are I-2 possible combinations of classifications. Let p(ij) = Pr(X = i, Y = j). This paper introduces a family of tests based on phi-divergence measures for testing H-0: p(ij) = p(ji) against H-1: p(ij) greater than or equal to p(ji) (i greater than or equal to j); and for testing H-1 against H-2: p(ij) unrestricted. A simulation study assesses some of the family of tests introduced in this paper in comparison to the likelihood ratio test.
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/17528
dc.identifier.doi10.1111/1467-842X.00265
dc.identifier.issn1369-1473
dc.identifier.officialurlhttp://onlinelibrary.wiley.com/doi/10.1111/1467-842X.00265/pdf
dc.identifier.relatedurlhttp://onlinelibrary.wiley.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/50250
dc.issue.number1
dc.journal.titleAustralian & New Zealand Journal of Statistics
dc.language.isoeng
dc.page.final123
dc.page.initial115
dc.publisherBlackwell
dc.relation.projectIDDGI BFM2000-0800
dc.rights.accessRightsrestricted access
dc.subject.cdu519.237
dc.subject.keywordchi-bar squared distribution
dc.subject.keywordcontingency table
dc.subject.keywordφ-divergence measure
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleTests for bivariate symmetry against ordered alternatives in square contingency tables
dc.typejournal article
dc.volume.number45
dcterms.referencesAgresti, A. (1990). Categorical Data Analysis. NewYork:Wiley. Ali, S.M. & Silvey, S.D. (1966).A general class of coefficient of divergence of one distribution from another. J. Roy. Statist. Soc. 286, 131–142. Andersen, E.B. (1998). Introduction to the Statistical Analysis of Categorical Data. Berlin: Springer. Barmi, H.E.&Kochar, S.C. (1995). Likelihood ratio tests for bivariate symmetry against ordered alternatives in a squared contingency table. Statist. Probab. Lett. 22, 167–173. Bishop, M.M., Fienberg, S.E & Holland, P.W. (1975). Discrete Multivariate Analysis:Theory and Practice. Cambridge, Mass: MIT Press. Bowker, A. (1948). A test for symmetry in contingency tables. J. Amer. Statist. Assoc. 43, 572–574. Cressie, N. & Read, T.R.C. (1984). Multinomial goodness-of-fit tests. J. Roy. Statist. Soc. Ser. B 46, 440–464. Csiszár, I. (1963). Eine Informationstheoretische Ungleichung und ihre Anwendung auf den bewis der Ergodizität on Markhoffschen Ketten. Publ. Math. Inst. Hungar. Acad. Sci. 8, 84–108. Robertson, T., Wright, F.T. & Dykstra, R.L. (1988). Order Restricted Statistical Inference. New York: Wiley. Sprent, P. (1993). Applied Nonparametric Statistical Methods. London: Chapman & Hall.
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery5e051d08-2974-4236-9c25-5e14369a7b61

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