Diseño de experimentos : métodos y aplicaciones

Ilustraciones y tablas

Autores:: Melo Martínez, Oscar Orlando
López Pérez, Luis Alberto
Melo Martínez, Sandra Esperanza

Tipo de recurso:: Book

Fecha de publicación:: 2020

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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dc.title.spa.fl_str_mv	Diseño de experimentos : métodos y aplicaciones
title	Diseño de experimentos : métodos y aplicaciones
spellingShingle	Diseño de experimentos : métodos y aplicaciones 510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas Diseño experimental Análisis de varianza Superficie de respuesta Métodos estadísticos Álgebra de matrices Modelos lineales
title_short	Diseño de experimentos : métodos y aplicaciones
title_full	Diseño de experimentos : métodos y aplicaciones
title_fullStr	Diseño de experimentos : métodos y aplicaciones
title_full_unstemmed	Diseño de experimentos : métodos y aplicaciones
title_sort	Diseño de experimentos : métodos y aplicaciones
dc.creator.fl_str_mv	Melo Martínez, Oscar Orlando López Pérez, Luis Alberto Melo Martínez, Sandra Esperanza
dc.contributor.author.none.fl_str_mv	Melo Martínez, Oscar Orlando López Pérez, Luis Alberto Melo Martínez, Sandra Esperanza
dc.contributor.other.none.fl_str_mv	Monroy, Juliana Fernández Suárez, Leonardo Cubides, Camilo
dc.subject.ddc.spa.fl_str_mv	510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas
topic	510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas Diseño experimental Análisis de varianza Superficie de respuesta Métodos estadísticos Álgebra de matrices Modelos lineales
dc.subject.lemb.spa.fl_str_mv	Diseño experimental Análisis de varianza Superficie de respuesta
dc.subject.proposal.spa.fl_str_mv	Métodos estadísticos Álgebra de matrices Modelos lineales
description	Ilustraciones y tablas
publishDate	2020
dc.date.issued.none.fl_str_mv	2020
dc.date.accessioned.none.fl_str_mv	2021-08-10T23:39:04Z
dc.date.available.none.fl_str_mv	2021-08-10T23:39:04Z
dc.type.spa.fl_str_mv	Libro
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dc.type.content.spa.fl_str_mv	Text
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dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/79912
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/79912 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	spa
language	spa
dc.relation.citationedition.spa.fl_str_mv	Segunda edición
dc.relation.references.spa.fl_str_mv	Acosta, M. E. (1999), Algoritmos de cómputo para la construcción de diseños factoriales fraccionados 2k−p, Trabajo de grado, Universidad Nacional de Colombia, Bogotá. Anscombe, F. J. (1947), ‘The Validity of Comparative Experiments’, Journal Royal of the Statistical Society 61, 181–211. Aranda-Ordaz, F. J. (1981), ‘On two families of transformations to additivity for binary response data’, Biometrika 68, 357–363. Bartlett, M. S. (1937), ‘Properties of Suficiency and Statistical Tests’, Proceedings of the Royal Society of London, Series A 160(901), 268–282. Bartlett, M. S. (1947), ‘The Use of Transformations’, Biometrics 3(1), 39–52. Bhattacharya, G. & Johnson, R. (1977), Statistical Concepts and Methods, John Wiley & Sons, New York. Bowman, K. & Kastenbaum, M. A. (1975), ‘Sample Size Requirement: Single and Double Classification Experiments’, In Selected Tables in Mathematical Statistics. (Harter, H. L. and Owen, I. B. eds.) III, 111–232. Box, G. E. P. (1952), ‘Multi-factor Designs of First Order’, Biometrika 39(1), 49–57. Box, G. E. P. (1954), ‘Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, ii. Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification’, The Annals of Mathematical Statistics 25, 484–498. Box, G. E. P. (1957), Integration of Techniques in Process Development, Technical Report, Statistical Techniques Research Group. Box, G. E. P. & Anderson, S. C. (1955), ‘Non-normality and Test on Variance’, Biometrika 40(3/4), 318–335. Box, G. E. P. & Cox, D. R. (1964), ‘An Analysis of Transformations’, Journal of the Royal Statistical Society, Series B 26(2), 211–252. Box, G. E. P. & Hunter, J. S. (1957), ‘Multi-Factor Experimental Designs for Exploring Response Surfaces’, Annals of Mathematical Statistics 28(1), 195–241. Box, G. E. P. & Hunter, J. S. (1961), ‘The 2 k−p Fractional Factorial Designs I’, Tecnometrics 3, 311–351. Box, G. E. P. & Wilson, K. B. (1951), ‘On the Experimental Attainment of the Optimum Conditions’, Journal Royal of the Statistical Society 13, 1–45. Box, G. E. P., Hunter, W. G. & Hunter, J. S. (1978), Statistics for Experimenters, John Wiley & Sons, New York. Bradley, E. L. & Blackwood, L. G. (1989), ‘Comparing Paired Data: A Simultaneous Test for Means and Variances’, The American Statistician 43(4), 234–235. Brown, H. & Prescott, R. (1999), Applied Mixed Models in Medicine, John Wiley & Sons, New York. Brownlee, K. A. (1957), ‘The Principles of Experimental Design’, Industrial Quality Control 13, 1–9. Cochran, W. G. & Cox, G. M. (1957), Experimental Designs, Second Edition, John Wiley & Sons, New York. Cochran, W. G. & Cox, G. M. (1974), Diseños experimentales, Editorial Trillas, México. Conover, W. J. (1980), Practical Nonparametric Statistics, John Wiley & Sons, New York. Conover, W. J., Johnson, M. E. & Johnson, M. M. (1981), ‘A Comparative Study of Tests for Homogeneity of Variances, with Applications to the Outer Continental Shelf Bidding Data’, Technometrics 23(4), 351–361. Corzo, J. A. (2005), Notas de clase: estadística no paramétrica-métodos basados en rangos, Technical report, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, D.C. De Campos, H. (1984), Estadística aplicada a experimentação con cana de acuçar, FEAlq USP, São Paulo. Del Castillo, E. & Montgomery, D. C. (1993), ‘A Nonlinear Programming Solution to the Dual Response Problem’, Journal of Quality Technology 25(3), 199–204. Derringer, G. C. (1969), ‘Sequential Methods for Estimating Response Surfaces’, Industrial and Engineering Chemistry 61(12), 6–13. Derringer, G. C. & Suich, R. (1980), ‘Simultaneous Optimization of Several Responses Variables’, Journal of Quality Technology 12(4), 214–219. Díaz, L. G. (2002), Estadística multivariada: inferencia y métodos, Universidad Nacional de Colombia, Bogotá, D.C. Dobson, A. 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Fisher, R. A. (1935), The Design of Experiments, Oliver & Boyd, Edinburgh. Fisher, R. A. (1945), ‘A System of Confounding for Factors with More than two Alternatives, Giving Completely Orthogonal Cubes and Higher Powers’, Annals of Human Genetics 12(1), 283–290. Fisher, R. A. & Yates, F. (1957), Statistical Tables for Biological, Agricultural and Medical Research, 5th edition. Hafner Public Co., Inc., New York. Gardiner, D. A., Grandage, A. H. & Hader, R. J. (1959), ‘Third order rotatable designs for exploring response surfaces’, The Annals of Mathematical Statistics 30(4), 1082–1096. Gill, J. L. (1978), Design and Analysis of Experiments in the Animal and Medical Sciences, Iowa State University Press, Ames, Iowa. González, L. M. (1997), Ajuste de bloques incompletos mediante el procedimiento IML de SAS, Trabajo de grado, Universidad Nacional de Colombia, Bogotá. Goodnight, J. H. 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Hinkelman, K. & Kempthorne, O. (1994), Design and Analysis of Experiments Vol I. Introduction to Experimental Design, John Wiley & Sons, New York. Hinkelman, K. & Kempthorne, O. (2005), Advanced Experimental Design, John Wiley & Sons, New York. Hinkelman, K. & Kempthorne, O. (2007), Design and Analysis of Experiments Vol I. Introduction to Experimental Design, second edn, John Wiley & Sons, New York. Hinkelmann, K. (2012), Design and Analysis of Experiments, Vol. 3 of Special Designs and Applications, Wiley, Hoboken, New York. Hinkelmann, K. & Kempthorne, O. (1994), Design and Analysis of Experiments, Vol. 1 of Introduction to Experimental Design, Wiley, Hoboken, New York. Hinkelmann, K. & Kempthorne, O. (2005), Design and Analysis of Experiments, Vol. 2 of Advanced Experimental Design, Wiley, Hoboken, New York. Hocking, R. R. (1985), The Analysis of Linear Models, Belmont, CA: Brooks/Cole Publishing Co, Monterrey. Hocking, R. R. & Speed, F. M. 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(2000), Estadística industrial moderna: diseño y control de la calidad y la confiabilidad, Internacional Thompson Editores, S. A., México. Keuls, M. (1952), ‘The Use of the “Studentized Range” in Connection with an Analysis of Variance’, Euphytica 1(2), 112–122. Khuri, A. I. & Colon, M. (1981), ‘Simultaneous Optimization of Multiples Responses Represented by Polynomial Regression Functions’, Technometrics 23(4), 363–375. Khuri, A. I. & Cornell, J. A. (1987), Response Surfaces: Designs an Analysis, Marcel Dekker, New York. Koopmans, H. S. & Sclafani, A. (1981), ‘Control of body weight by lower gut signals’, International Journal of Obesity 5(5), 491–495. Kruskal, W. H. & Wallis, W. A. (1952), ‘Use of Ranks in One-criterion Variance Analysis’, Journal of the American Statistical Association 47, 583–621. Kuehl, R. O. (2001), Diseño de experimentos. principios estadísticos para el diseño y análisis de investigaciones, 2da edición, Thomson, México. Law, A. M. & Kelton, W. D. (1991), Simulation Modeling and Analysis, 2nd ed. McGraw-Hill, New York. Levene, H. (1960), Robust Tests for Equality of Variance, Stanford University Press, Palo Alto, CA, pp. 278–292. Lewis, S. L., Montgomery, D. C. & Myers, R. H. (2001a), ‘Confidence interval coverage for designated experiments analyzed with glms’, Journal of Quality Technology 33(3), 279–292. Lewis, S. L., Montgomery, D. C. & Myers, R. H. (2001b), ‘Examples of designed experiments with nonnormal responses’, Journal of Quality Technology 33(3), 265–278. Lin, D. K. J. & Tu, W. (1995), ‘Dual Response Surface Optimization’, Journal of Quality Technology 27(1), 34–39. Mann, H. B. & Whitney, D. R. (1947), ‘On a Test of Whether One of Two Random Variables is Stochastically Larger Than the Other’, Annals of Mathematical Statistics 18(1), 50–60. Martin, F. G. (1989), Statistical Design and Analysis of Experiments, Technical report, University of Florida Gainesville, Florida. Martínez, A. (1972), Diseño y análisis de experimentos con caña de azúcar, Colegio de Postgraduados, Chapingo, México. Martínez, A. (1981), Diseños experimentales, CEC-CP, México. Martínez, A. (1988), Diseños experimentales. Métodos y elementos de teoría, Trillas, México. McCullagh, P. & Nelder, J. (1989), Generalized Linear Models, Chapman Hall, London. McLean, R. A. & Anderson, V. L. (1984), Applied Factorial and Fractional Design, Marcel Dekker, Inc., New York. Melo, O. O., Lozano, A. R. & López, L. A. (1999), ‘Funciones Estimables en Modelos de Clasificación con Datos Desbalanceados a través del Algoritmo de Cholesky’, Revista Multiciências 3(2), 131–147. Mendenhall, W. (1968), Introduction to Linear Models and the Design and Analysis of Experiments, Duxbury Press, Belmont. Méndez, I. (1981), Algunos aspectos del diseño experimental, in ‘IIMASUNAM’, Comunicaciones, México. Méndez, I. (1993), Diseño de experimentos, in ‘Memorias del X Coloquio Distrital de Matemáticas y Estadística’, Bogotá. 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(1972), ‘Generalized Linear Models’, Journal of the Royal Statistical Society, Series A 135(3), 370–384. Neter, J., Wasserman, W. & Kutner, M. H. (1990), Applied Linear Statistical Models, 3rd ed. Richard D.Irwin, Inc, Homewoud, IL Boston, MA. Newman, D. (1939), ‘The Distribution of Range in Samples from a Normal Population, Expressed in Terms of an Independent Estimate of Standard Deviation’, Biometrika 31(1/2), 20–30. Ostle, B. (1981), Estadística aplicada, Editorial Trillas, México. Pachón, A. J. (2003), Estudio de potencia para diferentes pruebas de normalidad T, Trabajo de grado, Universidad Nacional de Colombia, Bogotá. Pearson, E. S. & Hartley, H. (1954), Biometrika Tables for Statisticians, University Press, Cambridge. Pearson, E. S. & Hartley, H. O. (1996), ‘Biométrika Tables for Statisticians’, Biométrika, Cambridge University-Press 1. Peterson, R. G. (1985), Design and Analysis of Experiments, Marcel Dekker Inc., New York. 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R. & Rohlf, F. J. (1969), Biometry, the Principles and Practice of Statistics in Biological Research, W. H. Freeman and Company, San Francisco, California. Speed, F. M., Hocking, R. R. & Hackney, O. P. (1978), ‘Methods of Analysis of Linear Models with Unbalanced Data’, Journal of American Statistical Association 73(361), 105–112. Steel, R. G. & Torrie, J. H. (1982), Principles and Procedures of Statistics, McGraw-Hill Book Co., New York. Taguchi, G. (1986), Introduction to Quality Engineering, American Supplier Inst., Dearborn. Taguchi, G. (1987), Systems of Experimental Design: Engineering Methods to Optimize Quality and Minimize Cost, UNIPUB/Kraus International Publications, New York. Tang, L. C. & Xu, K. (2002), ‘A Unified Approach for Dual Response Surface Optimization’, Journal of Quality Technology 34(4), 437–447. Tang, P. C. (1938), ‘The Power Function of the Analysis of Variance Tests with Tables and Illustrations of Their Use’, Statistical Research Memoirs 2, 126–149. Taylor, W. H. & Hilton, H. G. (1981), ‘A Structura Diagram Symbolization for Analysis of Variance’, The American Statistician 35(2), 85–93. Tukey, J. W. (1949), ‘One Degree of Freedom for Non-Aditivity’, Biometrics 5, 232–242. Tukey, J. W. (1953), The Problem of Multiple Comparisons, Unpublished Report, Pricenton University. Vining, G. (1998), ‘A Compromise Approach to Multiresponse Optimization’, Journal of Quality Technology 30(4), 309–313. Vining, G. & Myers, R. (1990), ‘Combining Taguchi and Response Surface Philosophies: A Dual Response Approach’, Journal of Quality Technology 22(1), 38–45. Wedderburn, R. W. M. (1974), ‘Quasi Likelihood Functions, Generalized Linear Models and the Gauss-Newton Method’, Biometrika 61(3), 439–447. Wilcoxon, F. (1945), ‘Individual Comparison by Ranking Methods’, Biometrics 1(6), 80–83. Wilcoxon, F. & Wilcoxon, R. A. (1964), Some Rapid Approximate Statistical Procedures, Lederle Laboratories. Wilk, M. B. & Kempthorne, O. (1957), ‘Non-additivities in a latin square design’, Journal American Statistician Association 52(1), 218–236. Winer, B. J. (1991), Statistical Principles in Experimental Design, Mc Graw Hill, New York. Yates, F. (1934), Design and Analysis of Factorial Experiments, Technical Communication, Commonwealth Bureau of Soil Sciences, Harpenden, England. Yates, F. (1936), ‘Incomplete Randomized Blocks’, Annals of Human Genetics 7, 121–140. Youden, W. J. (1964), ‘Query 1: Inadmissible random assignments’, Technometrics 6(1), 103–105. Yuen, K. K. & Dixon, W. J. (1973), ‘The Approximate Behaviour and Performance of the Two-sample Trimmed t’, Biometrika 60(2), 369–374. Zyskind, G. (1980), Teoría de las hipótesis lineales, Colegio de Postgraduados, Chapingo, México.
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dc.rights.license.spa.fl_str_mv	Atribución-NoComercial-SinDerivadas 4.0 Internacional
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 InternacionalDerechos Reservados al Autor, 2020http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Melo Martínez, Oscar Orlando653518c1f1441d004f4edeffc2a59886López Pérez, Luis Alberto06e77fe35a3a4e686ea8c1781d15de6aMelo Martínez, Sandra Esperanzab9210344d4e28b98af8896456c41bc0bMonroy, JulianaFernández Suárez, LeonardoCubides, Camilo2021-08-10T23:39:04Z2021-08-10T23:39:04Z2020https://repositorio.unal.edu.co/handle/unal/79912Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones y tablasEsta segunda edición del libro Diseño de Experimentos: métodos y aplicaciones la ponemos al servicio de profesores, investigadores y estudiantes de las diferentes áreas del conocimiento científico que dentro de su actividad utilizan métodos experimentales. El libro en esta segunda edición, presenta temas de interés que son relevantes en muchas áreas del conocimiento científico. El libro está escrito en un lenguaje asequible para quienes tengan conocimientos básicos en métodos estadísticos y algunos conceptos de álgebra de matrices, principios de modelos lineales y modelos lineales generalizados. La temática que se aborda, en general puede encontrarse en muchos otros textos especializados en áreas del conocimiento como: diseños de experimentos, modelos lineales generalizados y superficies de respuesta. Sin embargo, el enfoque teórico práctico que le damos a este texto le da una particularidad especial dentro del marco de los diferentes textos de diseños de experimentos que son de amplia circulación en el campo de la estadística experimental. Nuestra motivación fundamental lo constituyen los trabajos de Hinkelmann y Kempthorne (1994, 2005) y Hinkelmann (2012), libros considerados influyentes en el campo de la enseñanza y la investigación de los diseños experimentales, estos autores contribuyeron a darnos una visión más amplia de la estadística experimental y a motivarnos a escribir esta obra en lenguaje español. (Texto tomado de la fuente).Segunda ediciónxviii, 675 páginasapplication/pdfspaUniversidad Nacional de ColombiaSede Bogotá510 - Matemáticas::519 - Probabilidades y matemáticas aplicadasDiseño experimentalAnálisis de varianzaSuperficie de respuestaMétodos estadísticosÁlgebra de matricesModelos linealesDiseño de experimentos : métodos y aplicacionesLibroinfo:eu-repo/semantics/bookinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_2f33Texthttp://purl.org/redcol/resource_type/LIBSegunda ediciónAcosta, M. E. 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(1980), Teoría de las hipótesis lineales, Colegio de Postgraduados, Chapingo, México.GeneralLICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79912/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINALDiseño de Experimentos.pdfDiseño de Experimentos.pdfLibro del Departamento de Estadísticaapplication/pdf7491146https://repositorio.unal.edu.co/bitstream/unal/79912/2/Dise%c3%b1o%20de%20Experimentos.pdf48c398afe97d6d91870a58c73b6393bdMD52THUMBNAILDiseño de Experimentos.pdf.jpgDiseño de Experimentos.pdf.jpgGenerated Thumbnailimage/jpeg9708https://repositorio.unal.edu.co/bitstream/unal/79912/3/Dise%c3%b1o%20de%20Experimentos.pdf.jpged95b798c981f1d268ec066edc31b67fMD53unal/79912oai:repositorio.unal.edu.co:unal/799122023-11-13 16:30:01.329Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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Diseño de experimentos : métodos y aplicaciones

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