Estadística multivariada: inferencia y métodos

Vista sencilla de ítem
dc.contributor.authorDíaz Monroy, Luis Guillermo
dc.contributor.graphicaldesignerKratzer, Andrea
dc.contributor.otherHernández Quitián, Margoth
dc.date.accessioned2021-08-10T17:01:26Z
dc.date.available2021-08-10T17:01:26Z
dc.date.issued2007
dc.descriptionTablas e ilustracionesspa
dc.description.abstractLa segunda edición tiene en cuenta al lector para quien se pensó debe ir dirigido, es decir cualquier persona que posea conocimientos básicos de matemáticas y estadística. Aunque se ha mantenido la estructura de la primera edición, ésta ha sido sometida a una revisión exhaustiva, cuyo resultado ha permitido la detección y corrección de algunas ambigüedades, la corrección de errores ortográficos y de edición, los cuales fueron advertidos al autor por juiciosos lectores. Algunos ejemplos fueron desarrollados con más detalle y sencillez. Para cada uno de los once capítulos y los dos anexos se ha incluido la sintaxis del paquete estadístico R, con el cual se desarrollan los cálculos, las tablas y las gráficas de algunos de los ejemplos contenidos en el respectivo capitulo. (Texto tomado de la fuente).spa
dc.description.editionSegunda ediciónspa
dc.description.notesISBN de la versión impresa 9789587011951spa
dc.format.extentxvii, 570 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/79907
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.departmentSede Bogotáspa
dc.publisher.placeBogotá, Colombiaspa
dc.relation.citationeditionSegunda ediciónspa
dc.relation.ispartofseriesColección textos;
dc.relation.referencesAlfenderfer, Mark S., and Blashfield, Roger., Cluster Analysis, Series: Quantitative Applications in the Social Sciences, Sage Publications, Inc., Beverly Hills, (1984).spa
dc.relation.referencesAnderson, T. W., An Introduction to Multivariate Statistical Analysis, John Wiley and Sons., New York, 1984.spa
dc.relation.referencesAnderson, T. W., Asymptotic Theory for Principal Component Analysis, The Annals of Mathematical Statistics, Vol. 34, 122-148, 1963.spa
dc.relation.referencesAndrews, D. F., Plots of high-dimensional data, Biometrics, Vol. 28, 125-136, 1972.spa
dc.relation.referencesAndrews, D. F., Gnanadesikan, R., and Warner, J. L., Methods for Assessing Multivariate Normality. In P. R. Kishnaiah (Ed.) Multivariate Analysis, Vol. III, 95-116, Academic Press, New York, 1973.spa
dc.relation.referencesArnold, Steven F., The Theory of Linear Models and Multivariate Analysis, John Wiley and Sons, 1981.spa
dc.relation.referencesBartlett, M. S., Properties of Sufficiency and Statistical Tests, Proceedings of the Royal Society of London, Vol. 160, 268-282, 1937.spa
dc.relation.referencesBartlett, M. S., A note on test of significance in multivariate analysis, Proceedings of the Cambridge Philosophical Society, Vol. 35, 180-185, 1939.spa
dc.relation.referencesBartlett, M. S., Anote on multiplying factors for various chi-squared approximations, Journal of the Royal Statistical Society, Series B, Vol. 16, 296-298, 1954.spa
dc.relation.referencesBenzecri, J. P., Cours de Linguistique Mathématique, Publication multigraphiée, (Faculté des Sciences de Rennes). 1964.spa
dc.relation.referencesBenzecri, J. P., L’Analyse des Données, Tomo 1: La Taxinomie, Tomo 2: L’Analyse des Correspondances, Dunod, Paris, 1973.spa
dc.relation.referencesBenzecri, J. P., Histoire et Préhistoire de l’Analyse des Données L’Analyse des Données., Les Cahiers de Analyse des Donées Dunod, Paris, 1976.spa
dc.relation.referencesBiscay, R., Valdes, P. and Pascual, R., Modified Fisher’s linear discriminant function with reduction of dimensionality, Journal of Statistical Computation and simulation, Vol. 36, 1-8, 1990.spa
dc.relation.referencesBorg, Ingwer., and Groenen, Patrick, Modern Multidimensional Scaling, Springer, New York. 1997.spa
dc.relation.referencesBox, G. E. P., A general distribution theory for a class of likelihood criteria, Biometrika, Vol. 36, 317-346, 1949.spa
dc.relation.referencesBox, G. E. P. and Cox, D. R., An analysis of transformations, Journal of the Royal Statistical Society, Series B, Vol. 26,211-252, 1964.spa
dc.relation.referencesBuck, S. F. A., A Method of estimation of missing values in multivariate data suitable for use with an electronic computer, Journal of the Royal Statistics Society, Series B, Vol. 22, 302-307, 1960.spa
dc.relation.referencesCatell, R. B., The screen test for the number of factors, Multivariate Behavioral Research, Vol. 1, 140-161, 1966.spa
dc.relation.referencesChatfield, C. and Collins, A. J., Introduction to Multivariate Analysis Chapman and Hall, New York. 1986.spa
dc.relation.referencesCherkassky, Vladimir., Friedman, Jerome H. and Wechsler, Harry. From Statistics to Neural Networks, Theory and Pattern Recognition Applications, Springer, Berlin, 1993.spa
dc.relation.referencesChernoff, Herman., Using faces to represent points in k-dimensional space graphically, Journal of the American Statistics Association, Vol. 68, 361-368, 1973.spa
dc.relation.referencesClifford, H. and Stephenson, W., Introduction to Numerical Taxonomic, Academic Press, New York. 1975.spa
dc.relation.references[23] Crisci, Jorge Víctor y López, María Fernanda., Introducción a la Teoría y Práctica de la Taxonomía Numérica, Secretaría General de la OEA, Washington, D. C., 1983.spa
dc.relation.referencesCox, Trevor F. and Cox, Michael A. A., Multidimensional Scaling, Chapman and Hall, London. 1994.spa
dc.relation.referencesCrowder, M. J. and Hand, D. J., Analysis of Repeated Measures, Chapman and Hall, New York. 1990.spa
dc.relation.referencesD’agostino, R. B. and Pearson, E. S., Test for deperture from Normality. Empirical Results for the Distributions of b2 and √b1, Biometrika, Vol. 60, 613-622; correction 61, 647, 1973.spa
dc.relation.referencesDíaz, Luis Guillermo y López, Luis Alberto, Tamaño de muestra en diseño experimental, Memorias III Simposio de Estadística Muestreo, Universidad Nacional de Colombia, Santafé de Bogotá, D. C., 132- 154, 1992.spa
dc.relation.references[28] Dillon, William R. and Goldstein, Matthew., Multivariate Analysis, Methods and Applications John Wiley and Sons, New York, 1984.spa
dc.relation.referencesDiday, E., Optimisation en classification automatique et reconnnaisance des formes, Revue Française de Recherche Opérationnelle, Vol. 3, 61-96, 1972.spa
dc.relation.referencesDiday, E., Classification automatique séquentielle pour grands tableaux, Revue Française de Recherche Opérationnelle, Vol. 9, 1- 29, 1974.spa
dc.relation.referencesEfron, B. and Tibshirani, R., An Introduction to the Bootstrap, Chapman and Hall, London, 1993.spa
dc.relation.referencesEscofier, Brigitte. et Pages, Jérome., Analyses factorielles simples et multiples, Dunod, Paris, 1990.spa
dc.relation.referencesEveritt, Brian S., Cluster Analysis, Heineman Educational Books, London, 1980.spa
dc.relation.referencesEveritt, Brian S. and Dunn, Graham., Applied Multivariate Data Analysis, Edward Arnold Books, New York, 1991.spa
dc.relation.referencesForgy, E. W., Cluster analysis of multivariate data: efficiency versus interpretability of classifications, Biometrics, 768, Vol. 21, 1965.spa
dc.relation.referencesFreund, Rudolf J., Litell, Ramon C. and Spector, Philip C., SAS system for linear models, SAS Institute Inc., Cary, NC., 1986.spa
dc.relation.referencesGiri, Narayan C., Multivariate Statistical Inference, Academic Press, New York, 1977.spa
dc.relation.referencesGnanadesikan, R. Methods for Statistical Analysis of Multivariate Observations, John Wiley and Sons, New York., 1997.spa
dc.relation.referencesGnanadesikan, R. and Kattenring, J. R., Robust stimates, residulas and outlier detection with multiresponse data, Biometrics, 81-124, 1972.spa
dc.relation.referencesGordon, A. D., A Review of hierarchical Classification, Series A Journal of the Royal Statistical Society, 150-119, 1937.spa
dc.relation.referencesGraybill, Franklyn A., Theory and Application of the Linear Model, Duxbury Press, Massachusetts, 1976.spa
dc.relation.referencesGorsuch, Richard L., Factor Analysis, Lawrence Erlbaum Associates, Publishers, London, 1983.spa
dc.relation.referencesHarville, David A., Introduction to Matrix Algebra from a Statistician’s Perspective, Springer, New York, 1997.spa
dc.relation.referencesHogg, Robert V. and Craig, Allent T., Introduction to Mathematical Statistics, Macmillan Publishing Co. Inc., New York, 1978.spa
dc.relation.referencesHotelling, H., The generalization of Student’s ratio, Annals of Mathematical Statistics, Vol. 2, 360-378, 1931.spa
dc.relation.referencesJobson, J. D., Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design, Springer, New York, 1992.spa
dc.relation.referencesJobson, J. D., Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods, Springer, New York, 1992.spa
dc.relation.referencesJohnson, Richard and Wicher, Dean W., Applied Multivariate Statistical Analysis, Prentice Hall, Inc., New Jersey, 1998.spa
dc.relation.referencesJöreskog, K. G., Some contributions to maximum likelihood factor analysis, Psychometrika, Vol. 32,443-482, 1967.spa
dc.relation.referencesKaiser, K. G., The varimax criteriom for analytic rotation in factor analysis, Psychometrika, Vol. 23, 187-200,1958.spa
dc.relation.referencesKaiser, K. G., Some contributions to maximum likelihood factor analysis, Psychometrika, Vol. 32, 443-482, 1967.spa
dc.relation.referencesKruskal, J. B., and Wish, M., Multidimensional Scaling, Sage Publications, Beverly Hills, CA., 1978.spa
dc.relation.referencesKrzanowski, W. J. and Marriot, F. H. C., Multivariate Analysis. Part 1 Distributions, Ordination and Inference, Edward Arnold, London, 1994.spa
dc.relation.referencesKrzanowski, W. J. and Marriot, F. H. C., Multivariate Analysis. Part 2 Classification, covariance structures and repeated measurements, Edward Arnold, London, 1995.spa
dc.relation.referencesLawley, D. N., A generalization of Fisher’s z test, Biometrika, Vol. 30, 180-187, 1938.spa
dc.relation.referencesLawley, D. N., Some new results in maximum likelihood factor analysis, Proceedings of the Royal Society of Education, Vol. 67, 256-264, 1967.spa
dc.relation.referencesLebart, Ludovic, Morineau, Alan, Fénelon, Jean-Pierre, Tratamiento Estadístico de Datos, Marcombo-Boixareu Editores, Barcelona. 1985.spa
dc.relation.referencesLebart, Ludovic, Morineau, Alan, Piron, Marie, Statistique Exploratoire Multidimensionnelle, Dunod, Paris, 1995.spa
dc.relation.referencesLebart, Ludovic, Morineau, Alan, and Warwick, Kenneth M., Multivariate Descriptive Statistical Analysis, John Wiley and Sons, New York, 1984.spa
dc.relation.referencesLee, Kerry L., Multivariate Test for Cluster, Journal of the American Statistical Association, Vol. 74, 708-714, 1979.spa
dc.relation.referencesLittle, R. J. A. and Rubin, D. B., Statistical Analysis with Missing Data John Wiley and Sons, New York, 1987.spa
dc.relation.referencesLou, Sheldon., Jiang, Jiong., and Keng, Kenneth, Clustering Objects Generated by Linear Regression Models, Journal of the American Statistical Association, Vol. 88, 1356-1362, 1993.spa
dc.relation.referencesMaclachlan, Geoffrey J., Discriminant Analysis and Statistical Pattern Recognition, John Wiley and Sons, New York, 1992.spa
dc.relation.referencesManly, Bryan F. J., Multivariate Statistical Methods, A primer, Chapman and Hall, New York, 2000.spa
dc.relation.referencesMardia, K. V., Measures of multivariate skewness and kurtosis with applications, Biometrika, Vol. 57, 519-530, 1970.spa
dc.relation.referencesMardia, K. V., Applications of some measures of multivariate skewness and kurtosis in testing normality and robustness studies, Sankhya B, Vol. 36, 115-128, 1974.spa
dc.relation.referencesMardia, K. V., Kent, J. T., and Bibby, J. M., Multivariate Analysis, Academic Press, New York, 1979.spa
dc.relation.referencesMason, R. L., Tracy, N. D. and Young, J. C., Decomposition of T2 for multivariate control chart interpretation, Journal of Quality Technology, Vol. 27 (2), 157-158, 1995.spa
dc.relation.referencesMijares, Tito A., The normal approximation to the Bartlett- NandaPillai trace test in multivariate analysis, Biometrika, Vol. 77, 230- 233, 1990.spa
dc.relation.referencesMilligan, G. W. and Cooper, M. C., An examination of procedures for determining the number of cluster, Psychometrika, Vol. 50, 159-179, 1985.spa
dc.relation.referencesMood, Alexander M., Graybill, Franklyn A. and Boes, Duane C., Introduction to the Theory of Statistics, Mc Graw Hill Book Company, 1982.spa
dc.relation.referencesMorrison, Donald F., Multivariate Statistical Methods, Mc Graw Hill Book Company, New York, 1990.spa
dc.relation.referencesMuirhead, Robb J. Aspects of Multivariate Statistical Theory, John Wiley and Sons, New York, 1982.spa
dc.relation.referencesNagarsenker, B. N. and Pillai, K. C. S., Distribution of the likelihood ratio for testing Σ=Σ0, μ = μ0, Journal of multivariate analysis,114-122, Vol. 4, 1974.spa
dc.relation.referencesNanda, D. N., Distribution of the sum of roots of the determinant equation under a certain condition, Annals of Mathematical Statistics, Vol. 21, 432-439, 1950.spa
dc.relation.referencesPardo, Campo Elías., Análisis de la Aplicación del Método de Ward de Clasificación Jerárquica al Caso de Variables Cualitativas, Universidad Nacional de Colombia. Tesis de Magister en Estadística, Santafé de Bogotá, D. C., 1992.spa
dc.relation.referencesPeck, Roger., Fisher, Lloyd., and Van, John., Approximate confidence intervals for the number of cluster, Journal of the American Statistical Association, Vol. 84, 184-191, 1989.spa
dc.relation.referencesPeña S., Daniel, Estadística modelos y métodos. Fundamentos, Alianza Universitaria Textos, Madrid, 1998.spa
dc.relation.referencesPillai, K. C. S., Some new test criteria in multivariate analysis, Annals of Mathematical Statistics, Vol. 26, 117-121, 1955.spa
dc.relation.referencesPla, Laura E., Análisis Multivariado: Método de Componentes Principales, Secretaría General de la OEA, Washington, D. C., 1986.spa
dc.relation.referencesRencher, Alvin C., Methods of Multivariate Analysis, John Wiley and Sons, New York, 1995.spa
dc.relation.referencesRencher, Alvin C., Multivariate Statistical Inference and Applications, John Wiley and Sons, New York, 1998.spa
dc.relation.referencesRohatgi, Vijay K., Statistical Inference, John Wiley and Sons, New York, 1984.spa
dc.relation.referencesRoussas, George G., A First Course in Mathematical Statistics, Addison-Wesley Publishing Company, Massachusetts, 1973.spa
dc.relation.referencesRoy, S. N., On a heuristic method of test construction and its use in multivariate analysis, Annals of Mathematical Statistics, Vol. 24, 220-238, 1953.spa
dc.relation.referencesRoy, S. N., Some Aspects of multivariate Analysis, John Wiley and Sons, New York, 1957. [87] Ruiz-Velazco, S., Asympototic efficiency of logistic regression relative to linear discriminant analysis, Biometrika, Vol. 78, 235-243, 1991.spa
dc.relation.referencesSaporta, Gilbert., Probabilités Analyse des Données et Statistique, Technip, Paris, 1990.spa
dc.relation.referencesSAS Institute Inc., SAS/STAT User’s Guide, SAS Institute Inc., Cary N. C., 2001.spa
dc.relation.referencesSchott, James R., A test for a specific principal component of a correlation matrix, Journal of the American Statistical Association, Vol. 86, 747-751, 1991.spa
dc.relation.referencesSearle, S. R., Matrix Algebra Useful for Statistics, John Wiley and Sons, New York. 1990.spa
dc.relation.referencesSeber, G.A.F., Multivariate observations, Jonhn Wiley and Sons, New York, 1984.spa
dc.relation.referencesSharma, Subhash, Applied Multivariate Techniques, Jonhn Wiley and Sons, New York, 1996.spa
dc.relation.referencesSilverman, B. W. Density Estimation for Statistics and Data Analysis, Chapman and Hall, New York, 1986.spa
dc.relation.referencesSokal, R. and Michener, C. D., A statistical method for evaluating systematic relationship, University of Kansas Scientific Bulletin, 1958.spa
dc.relation.referencesTakane, Y., Young, F. W., and Leeuw, J., Nonmetric individual differences multidimensional scaling: an alternating least squares method with optimal scaling features, Psychometrika, Vol. 42, 7-67, 1977.spa
dc.relation.referencesThompson, Paul A., Correspondence analysis in statistical package programs, The American Statistician, Vol. 49, 310-316, 1995.spa
dc.relation.referencesTiku, M. L., Tables of the power of the F-test, Journal of the American Statistical Association, Vol. 62, 525-539, 1967.spa
dc.relation.referencesTorres, Luz Gloria, Ni˜no, Luis F. y Hern´andez, Germ´an., Redes Neuronales, X Coloquio Distrital de Matem´aticas y Estad´ıstica, Santaf´e de Bogot´a, 1993.spa
dc.relation.referencesTukey, J. W., On the Comparative Anatomy of Transformations, Annals of Mathematical Statistics, Vol. 28, 602-632, 1957.spa
dc.relation.referencesVelilla, S., and Barrio, J. A., A discriminant rule under transformation, Technometrics, Vol. 36, 348-353, 1994.spa
dc.relation.referencesWard, J., Approximate confidence intervals for the number of cluster, Journal of the American Statistical Association, Vol. 58, 236-224, 1963.spa
dc.relation.referencesWelch, B. L., The significance of the difference between two means when the population variances are unequal, Biometrika, Vol. 29, 350- 360,1937.spa
dc.relation.referencesWelch, B. L., The generalization of “Student” problem when several different population variances are involved, Biometrika, Vol. 34, 28- 35, 1947.spa
dc.relation.referencesWilcox, Rand R. Introduction to Robust Stimation and Hipothesis Testing, Academic Press, New York, 1997.spa
dc.relation.referencesYager, R. R., Ovchinnikov, S., Togn, R. M., and Nguyen, H. T., Fuzzy Sets and Applications. Selected Papers by L. A. Zadeh, John Wiley and Sons, New York, 1987.spa
dc.relation.referencesYan, S. S., and Lee, Y., Identification of a multivariate outlier, Annual Meeting of the American Statistical Association, 1987.spa
dc.relation.referencesYeo, In-Know and Johnson, Richard A. A new family of power transformations to improve normality or symmetry, Biometrika, 2000.spa
dc.relation.referencesZadeh, Lotfi A., Fuzzy Sets, Information and Control, 338-353, 1965.spa
dc.rightsDerechos Reservados al Autor, 2007spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc510 - Matemáticas::519 - Probabilidades y matemáticas aplicadasspa
dc.subject.lembDiseño experimentalspa
dc.subject.lembEstadística matemáticaspa
dc.subject.lembProbabilidadesspa
dc.subject.lembAnálisis estadístico multivariablespa
dc.subject.proposalDistribuciones multivariantesspa
dc.subject.proposalInferenciaspa
dc.subject.proposalConceptos estadísticosspa
dc.titleEstadística multivariada: inferencia y métodosspa
dc.typeLibrospa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/bookspa
dc.type.redcolhttp://purl.org/redcol/resource_type/LIBspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audienceGeneralspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
Estadística Multivariada 9789587011951.pdf
Tamaño:
2.91 MB
Formato:
Adobe Portable Document Format
Descripción:
Libro del Departamento de Estadística
Descargar

Bloque de licencias

Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.87 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Ciencia