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Asymptotic distribution of the useful informational energy

dc.contributor.authorPardo Llorente, Julio Ángel
dc.contributor.authorVicente, M.L.
dc.date.accessioned2023-06-20T17:08:15Z
dc.date.available2023-06-20T17:08:15Z
dc.date.issued1994
dc.description.abstractWe consider the Useful Informational Energy introduced by L. Pardo [5]. Our purpose is to study the asymptotic distribution of its analogue estimator, in a random and stratified sampling, as well as its application to testing hypotheses.
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/17826
dc.identifier.issn0023-5954
dc.identifier.officialurlhttp://dml.cz/dmlcz/124499
dc.identifier.relatedurlhttp://dml.cz
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57827
dc.issue.number1
dc.journal.titleKybernetika
dc.language.isoeng
dc.page.final99
dc.page.initial87
dc.publisherKybernetika
dc.rights.accessRightsrestricted access
dc.subject.cdu519.22
dc.subject.keyworduseful informational energy
dc.subject.keywordrandom and stratified sampling
dc.subject.keywordtesting hypotheses
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleAsymptotic distribution of the useful informational energy
dc.typejournal article
dc.volume.number30
dcterms.referencesS. Kotz, N.M. Johnson and D.W. Boid: Series representation of quadratic forms in normal variables. I. Central case. Ann. Math. Statist. 38 (1967), 823-837. K. V. Mardia, J.T. Kent and J.M. Kent: Multivariate Analysis. Academic Press, New York 1982. O. Onicescu: Energie informationnelle. C. R. Acad. Sci. Paris A 263 (1966), 841-842. J. A. Pardo: Caracterización axiomática de la Energía Informacional Util. Estadistica Espanola JOS (1986), 107-116. L. Pardo: La Energía Informacional como fundamento de una Teoría de la Información. Memoria Instituto Universitario de Estadística. Madrid 1977. L. Pardo: Energía Informacional Util. Trabajos de Estadística e Investigación Operativa 52(1981), 85-94. L. Pardo: The order « information energy gain in sequential design of experiments. In: Proceedings of Third European Young Statisticians Meeting, (1983), pp. 140-147. L. Pardo: Plan de muestreo secuencial basado en la Energía Informacional del modelo de Bernouilli. Estadística española 104 (1984), 27-49. L. Pardo: Information energy of a fuzzy event and of a partition of fuzzy events. IEEE Trans. Systems Man Cybernet. 15 (1985), 139-144. L. Pardo, M. L. Menéndez and J. A. Pardo: A sequential selection method of a fixed number of fuzzy information systems based on the information energy gain. Fuzzy Sets and Systems 25 (1988), 97-105. A. Perez: Sur I'energie informationnelle de M. Octavio Onicescu. Rev. Roumaine Math. Pures Appl. 72(1966), 1341-1347. C.R. Rao: Linear Statistical Inference and its Applications. J. Wiley, New York 1973. 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. A. Renyi: On measures of entropy and information. In: Proceedings of 4th Berkeley Symp. on Probab. Theory Math. Statist. 1 (1961), 547-561. A. Theodorescu: Energie Informationnelle et notions Apparentes. Trabajos de Estadística e Investigación Operativa 25(1977), 183-206. I. Vajda: Axiomatic definition of energy of complete and incomplete probability schemes. Bull. Math. Soc. Sci. Math. Roum. // (1967), 197-203. I. Vajda: Bounds on the minimal error probability in checking a finite or countable number of hypotheses. Inform. Transm. Probl. 4 (1968), 9-17.
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relation.isAuthorOfPublication.latestForDiscovery5e051d08-2974-4236-9c25-5e14369a7b61

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