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Asymptotic approximations for the distributions of the K phi-divergence goodness-of-fit statistics

dc.contributor.authorPérez, T.
dc.contributor.authorPardo Llorente, Julio Ángel
dc.date.accessioned2023-06-20T09:44:50Z
dc.date.available2023-06-20T09:44:50Z
dc.date.issued2003-07
dc.description.abstractK-phi-divergence's, statistic family for goodness-of-fit, under the null hypothesis, has an asymptotic chi-squared distribution; however, for small samples, the chi-squared approximation in some cases does not well agree with the exact distribution. In this paper, a closer approximation to the exact distribution is obtained by extracting the phi-dependent second order component from the distribution. Moreover, numerical results are presented for moderate sample sizes with moderate number of cells.
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/17717
dc.identifier.doi10.1007/s00362-003-0160-0
dc.identifier.issn0932-5026
dc.identifier.officialurlhttp://link.springer.com/content/pdf/10.1007%2Fs00362-003-0160-0content/pdf/10.1007%2Fs00362-003-0160-0
dc.identifier.relatedurlhttp://link.springer.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/50291
dc.issue.number3
dc.journal.titleStatistical Papers
dc.language.isoeng
dc.page.final366
dc.page.initial349
dc.publisherSpringer Verlag
dc.relation.projectIDDGI BFM 2000-0800.
dc.rights.accessRightsrestricted access
dc.subject.cdu519.22
dc.subject.keywordK-phi-divergence
dc.subject.keywordgoodness-of-fit
dc.subject.keywordsecond order limit distribution.
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleAsymptotic approximations for the distributions of the K phi-divergence goodness-of-fit statistics
dc.typejournal article
dc.volume.number44
dcterms.referencesAli, S.M. and Silvey, S.D. (1966). A general class of coefficients of divergence of one distribution from another. Journal of the Royal Statistical Society Series B 28, 131-142. Burbea, J. and Rao, C.R. (1982). On the convexity of some divergence measures based on entropy functions. IEEE Transactions on Information Theory 28, 489-495. Cressie, N., and Read, T.R.C. (1984). Multinomial Goodness-of-fit Tests. Journal of the Royal Statistical Society Series B 46, 440-464. Csiszar, I. (1967). Information-type measures of difference of probability distributions and indirect observations. Studia Sci. Math. Hungar, 2, 299-318. Gvanceladze, L.G. and Chibisov, D.M. (1979). On tests of fit based on grouped data. In contributions to Statistics, J. Hajek Memorial Volume (editor J. JureDkova), 79-89. Prague, Academia. Mann, H.B., and Wald, A. (1942). On the choice of the number of class intervals in the application of the chi-square test. Annals ofMathematical Statistics 13, 306-317. Menendez, M.L., Morales, D., Pardo, L. and Salicri, M. (1992). Asymptotic distribution of the generalized distance measure in a random sampling. Proceeding of the International Meeting on Distance Analysis, DISTANCE'92, Remmes, France, 337-340. Menendez, M.L., Pardo, J.A., Pardo, L. and Pardo, M.C. (1997). Asymptotic approximations for the distribution of the (h,o}divergence goodness-of-fit statistic: Application to Renyi's statistic. Kibernetes, 26(4), 442-452. Morales, D., Pardo, L., Salicru, M. and Menendez, M.L. (1994). Asymptotic properties of divergence statistics in a stratified random sampling and its applications to test statistical hypotheses. Journal of Statistical Planning and Inference, 38, 2, 201-224. Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that can be reasonably supposed to have arisen from random sampling. Philosophy Magazine 50, 157-172. Perez and Pardo (1999). The Kb-divergence statistics for categorical data problem. Submitted. Ranga Rao, R. (1961). Some problems in probability theory. Ph. D. dissertation, Calcutta University. Abstract in Bull. Amer. Math. Soc. 67, 359-361. Read, T.R.C., and Cressie, N.A.C. (1988) Goodness of fit Statistics for discrete multivariate data. Springer-Verlag. Renyi, A. (1961). On measures of entropy and information. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability 1, 547-561. Schorr, B. (1974). On the choice of the class intervals in the application of the chi-squared test. Math. Operations forsch. Statist., 5, 357-377. Sharma, B.D. and Mittal, D.P. (1975) New Non-additive measures of relative information. Journal of Combinatory Information Systems Science, 2, 122-133. Sinha, B.K. (1976). On unbiasedness of Mann-Wald-Gumbell c2 test. Sankhya Series A 38,124-130. Siotani, M. and Fujikoshi, Y. (1984). Asymptotic approximations for the distributions of multinomial goodness-of-fit tests. Hiroshima Mathematics Journal 14, 115-124. Spruill, M.C. (1977). Equally Likely Intervals in the Chi-Square Test. Sankhya, Ser A, 39, 299-302. Yarnold, J.K. (1972). Asymptotic approximations for the probability that a sum of lattice random vectors lies in a convex set. Annals ofMathematical Statistics 43, 1566-1580.
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relation.isAuthorOfPublication.latestForDiscovery5e051d08-2974-4236-9c25-5e14369a7b61

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