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An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables

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dc.contributor.authorPardo Llorente, María del Carmen
dc.date.accessioned2023-06-20T17:09:40Z
dc.date.available2023-06-20T17:09:40Z
dc.date.issued1996
dc.descriptionThe author is grateful to the referees for valuable comments and suggestions
dc.description.abstractThis paper is concerned with comparison of Cressie and Read tests for the hypothesis of independence in three-way contingency tables. A Monte Carlo study is done to empirically compare the power of some members of the family of these tests under various spike alternatives.
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/18081
dc.identifier.issn0023-5954
dc.identifier.officialurlhttp://dml.cz/dmlcz/124180
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57867
dc.issue.number2
dc.journal.titleKybernetika
dc.language.isoeng
dc.page.final183
dc.page.initial175
dc.publisherKybernetika
dc.rights.accessRightsopen access
dc.subject.cdu519.22
dc.subject.keywordComparison of Cressie and Read tests
dc.subject.keywordHypothesis of independence
dc.subject.keywordThree-way contingency tables
dc.subject.keywordMonte Carlo study
dc.subject.keywordPower
dc.subject.keywordSpike alternatives
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleAn empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables
dc.typejournal article
dc.volume.number32
dcterms.referencesN. Cressie, T. R. C. Read: Multinomial goodness of fit tests. J. Roy. Statist. Soc. Ser. B 46 (1984), 440-464. M. Goldstein E. Wolf W. Dillon: On a test of independence for contingency tables. Communications Statist. Theory Methods 2 (1976), 159-169. K. Matusita: Decision rules, based on the distance for problems of fit, two samples and estimation. Ann. Math. Statist. 26 (1964), 631-640. M. C. Pardo: Tests of independence for multidimensional contingency tables based on $(h,\phi)$-divergence measures. Utilitas Math. 48 (1994), 75-91. K. Pearson: On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophy Magazine Series (5) 50 (1900), 157-172. M. Menéndez D. Morales L. Pardo I. Vajda: Divergence-based estimation and testing of statistical models of classification. J.Multivariate Anal. 54 (1995), 2, 329-354.
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