Los métodos Biplot: evolución y aplicaciones

Resumen es: Entre los metodos de analisis multivariante de datos, los Biplot han sido fuente de continuas con-tribuciones a la ciencia desde su origen en 1971. Su ob...

[1]  Richard A. Harshman,et al.  Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .

[2]  S. Zamir,et al.  Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights , 1979 .

[3]  J. Mandel.  Partitioning of interaction in analysis of variance , 1969 .

[4]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[5]  P. Galindo,et al.  Alternativa a la regresión concomponentes principales basadaen biplot de regresión , 2006 .

[6]  J. Strauss,et al.  Do Psychiatric Patients Fit Their Diagnoses? Patterns of Symptomatology as Described with the Biplot , 1979, The Journal of nervous and mental disease.

[7]  Pieter M. Kroonenberg,et al.  Decompositions and biplots in three-way correspondence analysis , 1996 .

[8]  Christopher Cox,et al.  SOME COMPARISONS OF BIPLOT DISPLAY AND PENCIL-AND-PAPER E.D.A. METHODS , 1981 .

[9]  J. Gower.  Generalized procrustes analysis , 1975 .

[10]  P. T. Davies,et al.  Procedures for Reduced‐Rank Regression , 1982 .

[11]  José Luis Vicente-Villardón,et al.  Comparison and integration of subspaces from a biplot perspective , 2002 .

[12]  Vartan Choulakian,et al.  Generalized bilinear models , 1996 .

[13]  K R Gabriel,et al.  Biplots in biomedical research. , 1990, Statistics in medicine.

[14]  R. Clarke,et al.  Theory and Applications of Correspondence Analysis , 1985 .

[15]  Maura Vásquez de Ramírez.  Aportaciones al análisis Biplot: un enfoque algebraico , 1995 .

[16]  María Purificación Galindo-Villardón,et al.  Manova Biplot para arreglos de tratamientos con dos factores basado en modelos lineales generales multivariantes , 2004 .

[17]  M. P. G. Villardón,et al.  Biplot con informacion externa basado en modelos bilineales generalizados , 2001 .

[18]  B. Everitt,et al.  Three-Mode Principal Component Analysis. , 1986 .

[19]  Manjit S. Kang,et al.  GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists , 2002 .

[20]  K. Ruben Gabriel,et al.  The Biplot as a Diagnostic Tool for Models of Two-Way Tables , 1978 .

[21]  J. Kettenring,et al.  Canonical Analysis of Several Sets of Variables , 2022 .

[22]  Weikai Yan,et al.  Biplots of Linear-Bilinear Models for Studying Crossover Genotype × Environment Interaction , 2002 .

[23]  Weikai Yan,et al.  Biplot Analysis of Diallel Data. , 2002, Crop science.

[24]  Weikai Yan.  GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data , 2001 .

[25]  W. Krzanowski.  Between-Groups Comparison of Principal Components , 1979 .

[26]  K. Ruben Gabriel,et al.  Use of Biplots to Diagnose Independence Models in Three-Way Contingency Tables , 1998 .

[27]  P. Rousseeuw,et al.  A fast algorithm for the minimum covariance determinant estimator , 1999 .

[28]  K. Gabriel,et al.  The biplot graphic display of matrices with application to principal component analysis , 1971 .

[29]  J. Rivas-Gonzalo,et al.  Biplot Analysis Applied to Enological Parameters in the Geographical Classification of Young Red Wines , 1993, American Journal of Enology and Viticulture.

[30]  L. Tucker,et al.  Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.

[31]  Valter Martins Vairinhos.  Desarrollo de un sistema para minería de datos basado en los métodos Biplot , 2003 .

[32]  Francisco J. Prieto,et al.  Multivariate Outlier Detection and Robust Covariance Matrix Estimation , 2001, Technometrics.

[33]  Fred A. van Eeuwijk,et al.  MULTIPLICATIVE INTERACTION IN GENERALIZED LINEAR MODELS , 1995 .

[34]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[35]  Harold Hotelling,et al.  Simplified calculation of principal components , 1936 .

[36]  A. Camardiel,et al.  Deteccion grafica de la multicolinealidad mediante el h-plot de la inversa de la matriz de correlaciones , 2005 .

[37]  Rosa Amanda Sepúlveda Correa.  Contribuciones al análisis de clases latentes en presencia de dependencia local , 2004 .

[38]  M. S. D. Leno.  Los métodos biplot como herramienta de diagnóstico en la modelización de datos multidimensionales , 1996 .

[39]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[40]  Gilbert Saporta,et al.  L'analyse des données , 1981 .

[41]  Y. Escoufier.  LE TRAITEMENT DES VARIABLES VECTORIELLES , 1973 .

[42]  Amparo Vallejo-Arboleda,et al.  Canonical STATIS: Biplot analysis of multi-table group structured data based on STATIS-ACT methodology , 2007, Comput. Stat. Data Anal..

[43]  María Purificación Galindo Villardón,et al.  Una alternativa de representación simultánea: HJ-Biplot , 1986 .

[44]  Weikai Yan,et al.  Two Types of GGE Biplots for Analyzing Multi‐Environment Trial Data , 2001 .

[45]  Mia Hubert,et al.  Robust PCA and classification in biosciences , 2004, Bioinform..

[46]  H. F. Gollob,et al.  A statistical model which combines features of factor analytic and analysis of variance techniques , 1968, Psychometrika.

[47]  J. Leeuw,et al.  Principal component analysis of three-mode data by means of alternating least squares algorithms , 1980 .

[48]  Alston S. Householder,et al.  Matrix Approximation and Latent Roots , 1938 .