Cartas de control T2 multivariadas usando R y SAS

Gráficas y tablas

Autores:
Yáñez Canal, Sergio
Vargas Navas, José Alberto
Nelfi Gertrudis, González Álvarez
Tipo de recurso:
Book
Fecha de publicación:
2011
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/79918
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/79918
https://repositorio.unal.edu.co/
Palabra clave:
510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas
Control de calidad
Métodos estadísticos
Cartas de control
Estadística industrial
Análisis multivariante
Control estadístico de procesos
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
id UNACIONAL2_2c5e3e6ed587c03bf8c6e2c9dffb9b54
oai_identifier_str oai:repositorio.unal.edu.co:unal/79918
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Cartas de control T2 multivariadas usando R y SAS
title Cartas de control T2 multivariadas usando R y SAS
spellingShingle Cartas de control T2 multivariadas usando R y SAS
510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas
Control de calidad
Métodos estadísticos
Cartas de control
Estadística industrial
Análisis multivariante
Control estadístico de procesos
title_short Cartas de control T2 multivariadas usando R y SAS
title_full Cartas de control T2 multivariadas usando R y SAS
title_fullStr Cartas de control T2 multivariadas usando R y SAS
title_full_unstemmed Cartas de control T2 multivariadas usando R y SAS
title_sort Cartas de control T2 multivariadas usando R y SAS
dc.creator.fl_str_mv Yáñez Canal, Sergio
Vargas Navas, José Alberto
Nelfi Gertrudis, González Álvarez
dc.contributor.author.none.fl_str_mv Yáñez Canal, Sergio
Vargas Navas, José Alberto
Nelfi Gertrudis, González Álvarez
dc.subject.ddc.spa.fl_str_mv 510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas
topic 510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas
Control de calidad
Métodos estadísticos
Cartas de control
Estadística industrial
Análisis multivariante
Control estadístico de procesos
dc.subject.lemb.spa.fl_str_mv Control de calidad
Métodos estadísticos
Cartas de control
dc.subject.proposal.spa.fl_str_mv Estadística industrial
Análisis multivariante
Control estadístico de procesos
description Gráficas y tablas
publishDate 2011
dc.date.issued.none.fl_str_mv 2011
dc.date.accessioned.none.fl_str_mv 2021-08-11T17:22:19Z
dc.date.available.none.fl_str_mv 2021-08-11T17:22:19Z
dc.type.spa.fl_str_mv Libro
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/book
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2f33
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/LIB
format http://purl.org/coar/resource_type/c_2f33
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/79918
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/79918
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 Primera edición
dc.relation.references.spa.fl_str_mv Bissell, D. (1994). Statistical Methods for SPC and TQM. Londres: Chapman and Hall.
Campbell, N. A. (1980). “Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation”, Applied Statistics, 29, 231-237.
Chenouri, S., Variyath, A. M. & Steiner, S. H. (2009). “A Multivariate Robust Control Chart for Individual Observations”, Journal of Quality Technology, 41(3), 259-271.
Conover, W. J. (1998). Practical Nonparametric Statistics (3th ed.). New York: John Wiley & Sons, Inc.
Correa, J. C. & González, N. G. (2002). Gráficos estadísticos con R. http://cran.r-project.org/doc/contrib/grafi3.pdf.
Crosier, R. (1986). “A New Two - Side Cumulative Sum Quality Control Scheme”, Technometrics, 28, 187-194.
Crosier, R. (1988). “Multivariate Generalizations of Cumulative Sum Quality - control schemes”, Technometrics, 30, 291-303.
Cryer, J. D. & Ryan, T. P. (1990). “The estimation of sigma for an X chart: MR/d2 or S/c4?”, Journal of Quality Technology, 22, 187-192.
Davis, C. M. & Adams, B. M. (2005). “Robust Monitoring of Contaminated Data”, Journal of Quality Technology, 37, 163-174.
De Mast, J. & Roes, K. C. B. (2004). “Robust Individuals Control Chart for Exploratory Analysis”, Quality Engineering, 16(3), 407- 421.
Donoho, D. L. & Gasko, M. (1992). “Breakdown Properties of Location Estimates Based on Half - Space Depth and Projected Outlyingenss”, Annals of Statistics, 20, 1803-1827.
Díaz M., L. G. (2002). Estadística multivariada. Inferencia y métodos. Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Estadística, Bogotá.
Fuchs, C. & Benjamin, Y. (1994). “Multivariate Profile Charts for Statistical Process Control”, Technometrics, 36, 182-195.
Gnanadesikan, R. (1977). Methods for Statistical Data Analysis of Multivariate Observations. New York: John Wiley & Sons, Inc.
Guerrero G., V. M. (2003). Análisis estadístico de series de tiempo económicas (2a. ed.). México: Thomson Learning.
Harter, H. L. (1960). “Tables of range and studentized range”, Annals of Mathematical Statistics, 31(4), 1122-1147.
Healy, J. D., (1987). “A note on Multivariate Cusum Procedures”, Technometrics, 29, 409-412.
Holmes, D. S. & Mergen, A. E. (1993). “Improving the Performance of the T2 Control Chart”, Quality Engineering, 5, 619-625.
Hotelling, H. (1931). “The Generalization of Student´s Ratio”, Annals of Mathematical Statistics, 2, 360-378.
Huber, P. J. (1981). Robust Statistics. New York: John Wiley and Sons, Inc.
Jackson, J. E. (1991). A User´s Guide to Principal Components. New York: John Wiley & Sons, Inc. pp. 73.
Jensen, W. A., Jones-Farmer, L. A., Champ, C. W. & Woodall, W. H. (2006). “Effects of Parameter Estimation on Control Chart Properties: A Literature Review”, Journal of Quality Technology, 38(4), 349-364.
Jensen, W. A., Birch, J. B. & Woodall, W. H. (2007). “High Breakdown Estimation Methods for Phase I Multivariate Control Charts”, Quality and Reliability Engineering International, 23(5), 615-629.
Johnson, R. A. & Wichern, D. W. (1998). Applied Multivariate Statistical Analysis (4th ed.), pp. 157-222. New Jersey: Prentice Hall.
Khoo, M. B. C. (2004). “An Alternative Q Chart Incorporing a Robust Estimator of Scale”, Journal of Modern Applied Statistical Methods, 3, 72-84.
Kourty, T. & MacGregor, J. F. (1996). “Multivariate SPC Methods for Process and Product Monitoring”, Journal of Quality Technology, 28, 409-428.
Langenberg, P. & Iglewicz, B. (1986). “Trimmed Mean X and R Charts”, Journal of Quality Technology, 18, 152-161.
Liu, R. G. & Singh, K. (1997). “Notions of Limiting P Values Based on Data Depth and Bootstrap”, Journal of the American Statistical Association, 92, 266-277.
Lowry, C. A. & Montgomery, D. C. (1995). “A Review of Multivariate Control Charts”, IIE Transactions, 27, 800-810.
Lowry, C. A., Woodall, W. H., Champ, C. W. & Ridgdon, S. E. (1992). “A multivariate Exponentially Weighted Moving Average Control Chart”, Technometrics, 34, 46-53.
Mardia, K. V. (1970). “Measures of Multivariate Skewness and Kurtosis with Applications”, Biometrika, 57, 519-530.
Mardia, K. V., Kent, J. T. & Bibby, J. M. (1979). Multivariate Analysis (pp. 1-86). London: Academic Press.
Maronna, R. A. (1976). “Robust M - Estimations of Multivariate Location and Scatter”, Annals of Statistics, 4, 51-67.
Mason, R. L., Chou, Y., Sullivan, J. H., Stoumbos, Z. G. & Young, J. C. (2003) “Systematic Patterns in T2 Control Charts”, Journal of Quality Technology, 35, 47-58.
Mason, R. L., & Young, J. C. (2002). Multivariate Statistical Process Control with Industrial Applications. Philadelphia: ASA-SIAM.
Mason, R. L., Chou, Y. & Young, J. C. (2001). “Applying Hotelling’s T2 Statistic to Batch Process”, Journal of Quality Technology, 33, 466-479.
Mason, R. L., Tracy, N. D. & Young, J. C. (1997). “A Practical Approach for Interpreting Multivariate T2 Control Chart Signals”, Journal of Quality Technology, 29(4), 396-406.
Mason, R. L., Tracy, N. D. & Young, J. C. (1995). “Decomposition of T2 for Multivariate Control Chart Interpretation”, Journal of Quality Technology, 27, 99-108.
Montgomery, D. C. & Peck, E. (1992). Introduction to Linear Regression Analysis. New York: Wiley & Sons, Inc.
Quesenberry, C. P. (1993). “The effect of sample size on estimated limits for X and X control charts”, Journal of Quality Technology, 25(4), 237-247.
Rencher, A. C. (1995). Methods of Multivariate Analysis (pp. 94- 120). New York: John Wiley & Sons, Inc.
Rocke, D. M. (1989). “Robust Control Charts”, Technometrics, 31, 173-184.
Rocke, D. M. (1992). “XQ and RQ: Robust Control Charts”, The Statistician, 41, 97-104.
Rousseeuw, P. J. (1984). “Least Median of Squares Regression”, Journal of American Statistical Association, 79, 871-880.
Rousseeuw, P. J. & Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York: John Wiley & Sons, Inc.
Rousseeuw, P. J. & Struyf, A. (1998). “Computing Location Depth and Regression Depth in Higher Dimensions”, Statistics and Computing, 8, 193-203.
Rousseeuw, P. J. & Van Driessen, K. (1999). “A Fast Algorithm for the Minimum Covariance Determinant Estimator”, Technometrics, 41, 212-223.
Rousseeuw, P. J. & Van Zomeren, B. C. (1990). “Unmasking Multivariate Outliers and Leverage Points (with discussion)”, Journal of the American Statistical Association, 85, 633-651.
Rousseeuw, P. J. & Yohai, V. (1984). “Robust Regression by Means of Estimators”. In: Robust and Nonlinear Time Series Analysis, edited by J. Franke, W. Härdle & R. D. Martin, Lectures Notes in Statistics No. 26, Springer Verlag, New York, pp. 256-272.
Rousseeuw, P. J., Van Alest, S., Van Driessen, K. & Agullo, J. (2004). “Robust Multivariate Regression”, Technometrics, 46, 293- 305.
Ryan, T. P. (2000). Statistical Methods for Quality Improvement (2nd ed.). New York: Wiley & Sons, Inc.
SAS/QC, (1999). SAS/QC, User’s Guide. SAS Institute Inc.
Sharma, S. (1996). Applied Multivariate Techniques. New York: John Wiley & Sons, Inc.
Struyf, A. & Rousseeuw, P. J. (2000). “High-Dimensional Computation of the Deepest Location”, Computational Statistics and Data Analysis, 34, 415-426.
Sullivan, J. H. & Woodall, W. H. (1996). “A Comparison of Multivariate Control Charts for Individual Observations”, Journal of Quality Technology, 28(4), 398-408.
Tukey, J. W. (1977). Exploratory Data Analysis. Massachusetts: Addison-Wesley, Reading.
Vargas, J. A. (2001). Introducción al control estadístico de calidad. Universidad Nacional de Colombia, Departamento de Matemáticas y Estadística. Bogotá.
Vargas, J. A. (2003). “Robust Estimation in Multivariate Control Charts for Individual Observations”, Journal of Quality Technology, 35(4), 367-376.
Williams, J. D., Woodall, W. H., Birch, J. B. & Sullivan, J. H. (2006). “Distribution of Hotelling’s T2 Statistic Based on the Successive Differences Estimator”, Journal of Quality Technology, 38(3), 217-229.
Wilcox, R. R. (2003). “Approximating Tukey’s Depth”, Communications in Statistics, Simulations and Computations, 32, 977-985.
Wilcox, R. R. (2005). Introduction to Robust Estimation and Hypothesis Testing (2nd ed.). United States: Elsevier Academics Press.
Woodall, W. H. (2000). “Controversies and Contradictions in Statistical Process Control”, Journal of Quality Technology, 32(4), 341- 350.
Woodall, W. H. & Ncube, M. M. (1985). “Multivariate CUSUM Quality Control Procedures”, Technometrics, 27, 285-292.
Yáñez, S., Vargas, J. A. & González, N. (2003). “Carta T2 con base en estimadores robustos de los parámetros”, Revista Colombiana de Estadística, 26(2), 159-179.
Yáñez, S., González, N. & Vargas, J. A. (2010). “Hotelling’s T2 control charts Based on Robust Estimators”, Dyna, 77(163), 239- 247.
dc.rights.spa.fl_str_mv Derechos Reservados al Autor, 2011
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
Derechos Reservados al Autor, 2011
http://creativecommons.org/licenses/by-nc-nd/4.0/
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eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv xvii, 202 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
dc.publisher.department.spa.fl_str_mv Sede Bogotá
dc.publisher.place.spa.fl_str_mv Bogotá, Colombia
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial-SinDerivadas 4.0 InternacionalDerechos Reservados al Autor, 2011http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Yáñez Canal, Sergioe25a87c93beffca28159fe8d7a93ee18Vargas Navas, José Albertod364ef75011279e0a554b74f5710f273Nelfi Gertrudis, González Álvarez87d4aded12cb9f53ffc007a173d708c22021-08-11T17:22:19Z2021-08-11T17:22:19Z2011https://repositorio.unal.edu.co/handle/unal/79918Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Gráficas y tablasEste libro se concentra en la utilización del estadístico T2 de Hotelling en el control estadístico de procesos multivariados, su implementación, sus propiedades y algunas de sus carencias, que son tema de investigación en la actualidad. Se diseñó de manera que fuese autocontenido, en el sentido de que los elementos de control univariado necesarios para la comprensión de los principios básicos se incluyen de forma que la temática multivariada se pueda abordar sin ningún prerrequisito. Muchos de los procesos en la industria o en el sector de servicios dependen de diversas variables que usualmente están correlacionadas, y su correcto manejo aumenta la precisión en el control de procesos. El manejo univariado sigue siendo importante, pero es necesario tener en cuenta las características multivariadas, cuando sea del caso, y por ello se pretende dar en el texto una visión práctica que permita la implementación y el uso de las cartas de control T2 multivariadas. Así las cosas, el texto va dirigido al usuario que quiera aprender a utilizar las técnicas, así como también a estudiantes avanzados de pregrado y de posgrado en Estadística e Ingeniería que pretendan hacer investigación aplicada en el área. (Texto tomado de la fuente).Incluye un apéndice con una breve introducción a R.ISBN de la versión impresa 9789587610550Primera ediciónxvii, 202 páginasapplication/pdfspaUniversidad Nacional de ColombiaSede BogotáBogotá, Colombia510 - Matemáticas::519 - Probabilidades y matemáticas aplicadasControl de calidadMétodos estadísticosCartas de controlEstadística industrialAnálisis multivarianteControl estadístico de procesosCartas de control T2 multivariadas usando R y SASLibroinfo:eu-repo/semantics/bookinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_2f33Texthttp://purl.org/redcol/resource_type/LIBPrimera ediciónBissell, D. (1994). Statistical Methods for SPC and TQM. Londres: Chapman and Hall.Campbell, N. A. (1980). “Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation”, Applied Statistics, 29, 231-237.Chenouri, S., Variyath, A. M. & Steiner, S. H. (2009). “A Multivariate Robust Control Chart for Individual Observations”, Journal of Quality Technology, 41(3), 259-271.Conover, W. J. (1998). Practical Nonparametric Statistics (3th ed.). New York: John Wiley & Sons, Inc.Correa, J. C. & González, N. G. (2002). Gráficos estadísticos con R. http://cran.r-project.org/doc/contrib/grafi3.pdf.Crosier, R. (1986). “A New Two - Side Cumulative Sum Quality Control Scheme”, Technometrics, 28, 187-194.Crosier, R. (1988). “Multivariate Generalizations of Cumulative Sum Quality - control schemes”, Technometrics, 30, 291-303.Cryer, J. D. & Ryan, T. P. (1990). “The estimation of sigma for an X chart: MR/d2 or S/c4?”, Journal of Quality Technology, 22, 187-192.Davis, C. M. & Adams, B. M. (2005). “Robust Monitoring of Contaminated Data”, Journal of Quality Technology, 37, 163-174.De Mast, J. & Roes, K. C. B. (2004). “Robust Individuals Control Chart for Exploratory Analysis”, Quality Engineering, 16(3), 407- 421.Donoho, D. L. & Gasko, M. (1992). “Breakdown Properties of Location Estimates Based on Half - Space Depth and Projected Outlyingenss”, Annals of Statistics, 20, 1803-1827.Díaz M., L. G. (2002). Estadística multivariada. Inferencia y métodos. Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Estadística, Bogotá.Fuchs, C. & Benjamin, Y. (1994). “Multivariate Profile Charts for Statistical Process Control”, Technometrics, 36, 182-195.Gnanadesikan, R. (1977). Methods for Statistical Data Analysis of Multivariate Observations. New York: John Wiley & Sons, Inc.Guerrero G., V. M. (2003). Análisis estadístico de series de tiempo económicas (2a. ed.). México: Thomson Learning.Harter, H. L. (1960). “Tables of range and studentized range”, Annals of Mathematical Statistics, 31(4), 1122-1147.Healy, J. D., (1987). “A note on Multivariate Cusum Procedures”, Technometrics, 29, 409-412.Holmes, D. S. & Mergen, A. E. (1993). “Improving the Performance of the T2 Control Chart”, Quality Engineering, 5, 619-625.Hotelling, H. (1931). “The Generalization of Student´s Ratio”, Annals of Mathematical Statistics, 2, 360-378.Huber, P. J. (1981). Robust Statistics. New York: John Wiley and Sons, Inc.Jackson, J. E. (1991). A User´s Guide to Principal Components. New York: John Wiley & Sons, Inc. pp. 73.Jensen, W. A., Jones-Farmer, L. A., Champ, C. W. & Woodall, W. H. (2006). “Effects of Parameter Estimation on Control Chart Properties: A Literature Review”, Journal of Quality Technology, 38(4), 349-364.Jensen, W. A., Birch, J. B. & Woodall, W. H. (2007). “High Breakdown Estimation Methods for Phase I Multivariate Control Charts”, Quality and Reliability Engineering International, 23(5), 615-629.Johnson, R. A. & Wichern, D. W. (1998). Applied Multivariate Statistical Analysis (4th ed.), pp. 157-222. New Jersey: Prentice Hall.Khoo, M. B. C. (2004). “An Alternative Q Chart Incorporing a Robust Estimator of Scale”, Journal of Modern Applied Statistical Methods, 3, 72-84.Kourty, T. & MacGregor, J. F. (1996). “Multivariate SPC Methods for Process and Product Monitoring”, Journal of Quality Technology, 28, 409-428.Langenberg, P. & Iglewicz, B. (1986). “Trimmed Mean X and R Charts”, Journal of Quality Technology, 18, 152-161.Liu, R. G. & Singh, K. (1997). “Notions of Limiting P Values Based on Data Depth and Bootstrap”, Journal of the American Statistical Association, 92, 266-277.Lowry, C. A. & Montgomery, D. C. (1995). “A Review of Multivariate Control Charts”, IIE Transactions, 27, 800-810.Lowry, C. A., Woodall, W. H., Champ, C. W. & Ridgdon, S. E. (1992). “A multivariate Exponentially Weighted Moving Average Control Chart”, Technometrics, 34, 46-53.Mardia, K. V. (1970). “Measures of Multivariate Skewness and Kurtosis with Applications”, Biometrika, 57, 519-530.Mardia, K. V., Kent, J. T. & Bibby, J. M. (1979). Multivariate Analysis (pp. 1-86). London: Academic Press.Maronna, R. A. (1976). “Robust M - Estimations of Multivariate Location and Scatter”, Annals of Statistics, 4, 51-67.Mason, R. L., Chou, Y., Sullivan, J. H., Stoumbos, Z. G. & Young, J. C. (2003) “Systematic Patterns in T2 Control Charts”, Journal of Quality Technology, 35, 47-58.Mason, R. L., & Young, J. C. (2002). Multivariate Statistical Process Control with Industrial Applications. Philadelphia: ASA-SIAM.Mason, R. L., Chou, Y. & Young, J. C. (2001). “Applying Hotelling’s T2 Statistic to Batch Process”, Journal of Quality Technology, 33, 466-479.Mason, R. L., Tracy, N. D. & Young, J. C. (1997). “A Practical Approach for Interpreting Multivariate T2 Control Chart Signals”, Journal of Quality Technology, 29(4), 396-406.Mason, R. L., Tracy, N. D. & Young, J. C. (1995). “Decomposition of T2 for Multivariate Control Chart Interpretation”, Journal of Quality Technology, 27, 99-108.Montgomery, D. C. & Peck, E. (1992). Introduction to Linear Regression Analysis. New York: Wiley & Sons, Inc.Quesenberry, C. P. (1993). “The effect of sample size on estimated limits for X and X control charts”, Journal of Quality Technology, 25(4), 237-247.Rencher, A. C. (1995). Methods of Multivariate Analysis (pp. 94- 120). New York: John Wiley & Sons, Inc.Rocke, D. M. (1989). “Robust Control Charts”, Technometrics, 31, 173-184.Rocke, D. M. (1992). “XQ and RQ: Robust Control Charts”, The Statistician, 41, 97-104.Rousseeuw, P. J. (1984). “Least Median of Squares Regression”, Journal of American Statistical Association, 79, 871-880.Rousseeuw, P. J. & Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York: John Wiley & Sons, Inc.Rousseeuw, P. J. & Struyf, A. (1998). “Computing Location Depth and Regression Depth in Higher Dimensions”, Statistics and Computing, 8, 193-203.Rousseeuw, P. J. & Van Driessen, K. (1999). “A Fast Algorithm for the Minimum Covariance Determinant Estimator”, Technometrics, 41, 212-223.Rousseeuw, P. J. & Van Zomeren, B. C. (1990). “Unmasking Multivariate Outliers and Leverage Points (with discussion)”, Journal of the American Statistical Association, 85, 633-651.Rousseeuw, P. J. & Yohai, V. (1984). “Robust Regression by Means of Estimators”. In: Robust and Nonlinear Time Series Analysis, edited by J. Franke, W. Härdle & R. D. Martin, Lectures Notes in Statistics No. 26, Springer Verlag, New York, pp. 256-272.Rousseeuw, P. J., Van Alest, S., Van Driessen, K. & Agullo, J. (2004). “Robust Multivariate Regression”, Technometrics, 46, 293- 305.Ryan, T. P. (2000). Statistical Methods for Quality Improvement (2nd ed.). New York: Wiley & Sons, Inc.SAS/QC, (1999). SAS/QC, User’s Guide. SAS Institute Inc.Sharma, S. (1996). Applied Multivariate Techniques. New York: John Wiley & Sons, Inc.Struyf, A. & Rousseeuw, P. J. 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(2010). “Hotelling’s T2 control charts Based on Robust Estimators”, Dyna, 77(163), 239- 247.GeneralLICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79918/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINALCartas de Control T2 Multivariadas usando R y SAS 9789587610550.pdfCartas de Control T2 Multivariadas usando R y SAS 9789587610550.pdfLibro del Departamento de Estadísticaapplication/pdf2513724https://repositorio.unal.edu.co/bitstream/unal/79918/2/Cartas%20de%20Control%20T2%20Multivariadas%20usando%20R%20y%20SAS%209789587610550.pdfd3ee82c7ea1999f08cf834c2ac42174dMD52THUMBNAILCartas de Control T2 Multivariadas usando R y SAS 9789587610550.pdf.jpgCartas de Control T2 Multivariadas usando R y SAS 9789587610550.pdf.jpgGenerated 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