Mostrar el registro sencillo del ítem

dc.contributor.authorCaro-Lopera F.J
dc.contributor.authorGonzález Farías G
dc.contributor.authorBalakrishnan N.
dc.date.accessioned2023-10-24T19:25:25Z
dc.date.available2023-10-24T19:25:25Z
dc.date.created2022
dc.identifier.issn10665307
dc.identifier.urihttp://hdl.handle.net/11407/8069
dc.description.abstractAbstract: The non-central Wishart and inverted Wishart distributions are studied in this work under elliptical models; some distributional results are based on some generalizations of the well-known Kummer relations, which leds us to determine that some moments have a polynomial representation. Then the non-central F and ‘‘studentized Wishart’’ distributions are derived in a general setting. After some generalizations, including the so called non-central generalized inverted Wishart distribution, the classical results based on Gaussian models are derived here as corollaries. © 2022, Allerton Press, Inc.eng
dc.language.isoeng
dc.publisherPleiades journals
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85134371301&doi=10.3103%2fS1066530722010021&partnerID=40&md5=01dddebcfdeac9b2c044af01c7cf80e0
dc.sourceMath. Methods Stat.
dc.sourceMathematical Methods of Statisticseng
dc.subjectElliptical modelseng
dc.subjectF and ‘‘studentized Wishart’’ distributionseng
dc.subjectGeneralized non-central Wisharteng
dc.subjectInverted Wisharteng
dc.subjectZonal and invariant polynomialseng
dc.titleMatrix Variate Distribution Theory under Elliptical Models—V: The Non-Central Wishart and Inverted Wishart Distributionseng
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programCiencias Básicasspa
dc.type.spaArtículo
dc.identifier.doi10.3103/S1066530722010021
dc.relation.citationvolume31
dc.relation.citationissue1
dc.relation.citationstartpage18
dc.relation.citationendpage42
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.affiliationCaro-Lopera, F.J., Universidad de Medellín Faculty of Basic Sciences, Carrera 87 No.30-65, of. 4-216, Medellín, Colombia
dc.affiliationGonzález Farías, G., CIMAT A. C., Department of Probability and Statistics Callejón de Jalisco s/n, Mineral de Valenciana, Guanajuato, 36240, Mexico
dc.affiliationBalakrishnan, N., McMaster University, Department of Mathematics and Statistics, Hamilton, ON L8S 4K1, Canada
dc.relation.referencesBartlett, M.S., On the theory of statistical regression (1933) Proc. R. Soc. Edinb., 53, pp. 260-283
dc.relation.referencesCaro-Lopera, F.J., (2002) Invariant Polynomials of Hermitian Matrix Arguments and Applications, , Master Thesis
dc.relation.referencesCaro-Lopera, F.J., The impossibility of a recurrence construction of the invariant polynomials by using the Laplace-Beltrami operator (2016) Far East Journal of Mathematical Sciences, 100, pp. 1265-1288
dc.relation.referencesCaro-Lopera, F.J., Diaz-Garcia, J.A., González-Farías, G., Inference in statistical shape theory: elliptical configuration densities (2009) Journal of Statistical Research, 43, pp. 1-19
dc.relation.referencesCaro-Lopera, F.J., Diaz-Garcia, J.A., González-Farías, G., Non-central elliptical configuration density (2010) Journal of Multivariate Analysis, 101, pp. 32-43
dc.relation.referencesCaro-Lopera, F.J., González-Farías, G., Balakrishnan, N., On Generalized Wishart Distributions—I: Likelihood Ratio Test for Homogeneity of Covariance Matrices (2014) Sankhya, 76A (2), pp. 179-194
dc.relation.referencesCaro-Lopera, F.J., González-Farías, G., Balakrishnan, N., On Generalized Wishart Distributions—II: Sphericity Test (2014) Sankhya, 76A (2), pp. 195-218
dc.relation.referencesCaro-Lopera, F.J., González-Farías, G., Balakrishnan, N., Matrix-variate distribution theory under elliptical models-4: Joint distribution of latent roots of covariance matrix and the largest and smallest latent roots (2016) Journal of Multivariate Analysis, 145, pp. 224-235
dc.relation.referencesCaro-Lopera, F.J., González-Farías, G., Balakrishnan, N., Matrix-variate distribution theory under elliptical models: Likelihood ratio test for testinglocation and scale (2018) Sankhya B. Accepted
dc.relation.referencesChikuse, Y., Partial differential equations for hypergeometric functions of complex arguments matrices and their applications (1976) Ann. Inst. Statist. Math., 28, pp. 187-199
dc.relation.referencesChikuse, Y., Methods for constructing top order invariant polynomials (1987) Econom. Theory., 3, pp. 195-207
dc.relation.referencesChikuse, Y., Davis, A., Some properties of invariant polynomials with matrix arguments and their applications in econometrics (1986) Ann. Inst. Statist. Math., 38, pp. 109-122
dc.relation.referencesConstantine, A.G., Non-central distribution problems in multivariate analysis (1963) The Annals of Mathematical Statistics, 34, pp. 1270-1285
dc.relation.referencesConstantine, A.G., Muirhead, R.J., Asymptotic expansions for distributions of latent roots in multivariate analysis (1976) J. Multivariate Anal., 6, pp. 369-391
dc.relation.referencesGonzález-Farías, G., Caro-Lopera, F.J., (2011) C-Arrays: Partitions and Related aspects,’’ In: Encyclopedia of Statistical Sciences, , S. Kotz, N. Balakrishnan, C. B. Read, and B. Vidakovic, eds. (John Wiley and Sons, Hoboken, New Jersey
dc.relation.referencesDavis, A.W., On the construction of a class of invariant polynomials in several matrices, extending the zonal polynomials (1981) Ann. Inst. Statist. Math., 33, pp. 297-313
dc.relation.referencesDavis, A.W., (1980) Multivariate Analysis V, , Invariant Polynomials with Two Matrix Arguments, Extending the Zonal Polynomials, North-Holland, Amsterdam
dc.relation.referencesDavis, A.W., Invariant polynomials with two matrix arguments extending the zonal polynomials: Applications to multivariate distribution theory (1979) Ann. Inst. Statist. Math., 31 (A), pp. 465-485
dc.relation.referencesDavis, A.W., (2006) Encyclopedia of Statistical Sciences, , Polynomials of Matrix Arguments, Wiley, Hoboken
dc.relation.referencesDavis, A.W., Field, J.B.F., (1971) Tech. Rept. No. 32, , Tables of some multivariate test criteria, Division of Mathematical Statistics, C.S.I.R.O., Canberra, Australia
dc.relation.referencesDiaz-Garcia, J.A., Integral Properties of Zonal Spherical Functions, Hypergeometric Functions, and Invariant Polynomials (2014) Journal of the Iranian Statistical Society, 13, pp. 83-124
dc.relation.referencesDiaz-Garcia, J.A., Caro-Lopera, F.J., An alternative approach for deriving the Laplace–Beltrami operador for the zonal polynomials of positive semidefinite and definite matrix argument (2006) Far East Journal of Mathematical Sciences, 22, pp. 273-290
dc.relation.referencesDiaz-Garcia, J.A., Caro-Lopera, F.J., Derivation of the Laplace–Beltrami operador for the zonal polynomials of positive definite hermitian matrix argument (2007) Applied Mathematical Sciences, 1, pp. 191-200
dc.relation.referencesDiaz-Garcia, J.A., Caro-Lopera, F.J., Matrix generalised Kummer relation,’’ South African Statistical (2015) Journal, 49 (1)
dc.relation.referencesDumitriu, I., Edelman, A., Shuman, G., MOPS: Multivariate orthogonal polynomials (symbolically) (2007) Journal of Symbolic Computation, 42, pp. 587-620
dc.relation.referencesFang, K.T., Anderson, T.W., (1990) Statistical Inference in Elliptically Contoured and Related Distributions, , (eds), Allerton Press, New York
dc.relation.referencesFang, K.T., Zhang, Y.T., (1990) Generalized Multivariate Analysis, , Science Press, Springer-Verlag, Beijing
dc.relation.referencesGupta, A.K., Nagar, D.K., (1999) Matrix Variate Distributions, , Chapman and Hall, Boca Raton
dc.relation.referencesHerz, C.S., Bessel functions of matrix argument (1955) Ann. Math., 61, pp. 474-523
dc.relation.referencesJack, H., A class of symmetric polynomials with a parameter (1970) Proc. Roy. Soc. Edinburgh Sect A., 69, pp. 1-17
dc.relation.referencesJames, A.T., Calculation of zonal polynomial coefficients by use of the Laplace–Beltrami operator (1968) The Annals of Mathematical Statistics, 39, pp. 1711-1718
dc.relation.referencesJames, A.T., Distributions of matrix variates and latent roots derived from normal samples (1964) Ann. Math. Statist., 39, pp. 1711-1718
dc.relation.referencesJames, A.T., The distribution of the latent roots of the covariance matrix (1960) Ann. Math. Statist., 31, pp. 151-158
dc.relation.referencesKhatri, C.G., On certain distribution problems based on positive definite quadratic functions in normal vectors (1966) The Annals of Mathematical Statistics, 37, pp. 468-479
dc.relation.referencesKhatri, C.G., On the exact finite series distribution of the smallest or the largest root of matrices in three situations (1972) J. Multivariate Analysis, 2, pp. 201-207
dc.relation.referencesKoev, P., Edelman, A., The efficient evaluation of the hypergeometric function of a matrix argument (2006) Math. Comp., 75, pp. 833-846
dc.relation.referencesLapointe, L., Vinet, L., A Rodrigues formula for the Jack polynomials and the Macdonald–Stanley conjecture (1995) International Mathematics Research Notices, 9, pp. 419-424
dc.relation.referencesLi, F., Xue, Y., Zonal polynomials and hypergeometric functions of quaternion matrix argument (2009) Communications in Statistics: Theory and Methods, 38, pp. 1184-1206
dc.relation.referencesLi, R., The expected values of invariant polynomials with matrix argument of elliptical distributions (1997) Acta Mathematicae Applicatae Sinica, 13, pp. 64-70
dc.relation.referencesMagnus, J.R., (1988) Linear Structures, , Charles Griffin and Company Ltd, London
dc.relation.referencesMuirhead, R.J., (2005) Aspects of Multivariate Statistical Theory, Wiley Series in Probability and Mathematical Statistics, , John Wiley and Sons, Inc., New York
dc.relation.referencesNagarsenker, B.N., Pillai, K.C.S., Distribution of the likelihood ratio criterion for testing a hypothesis specifying a covariance matrix (1973) Biometrika, 60, pp. 359-394
dc.relation.referencesNagarsenker, B.N., Pillai, K.C.S., Distribution of the likelihood ratio criterion for testing (1974) J. Multi. Analysis, 4, pp. 114-122
dc.relation.referencesKhattree, R., Gupta, R.D., Estimation of matrix valued realized signal to noise ratio (1989) Journal of Multivariate Analysis, 30, pp. 312-327
dc.relation.referencesKhattree, R., Gupta, R.D., Some probability distributions connected with beta and gamma matrices (1992) Communications in Statistics—Theory and Methods, 21 (2). , ‘‘,’’
dc.relation.referencesStanley, R.P., Some combinatorial properties of Jack symmetric functions (1989) Adv. Math., 77, pp. 76-115
dc.relation.referencesSugiura, N., Derivatives of the characteristic root of a symmetric or a Hermitian matrix with two applications in multivariate analysis (1973) Commun. Statist., 1, pp. 393-417
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem