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Book Analyse factorielle de tableaux multiples

Download or read book Analyse factorielle de tableaux multiples written by Thierry Foucart and published by Elsevier Masson. This book was released on 1984 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Analyse factorielle multiple avec R

Download or read book Analyse factorielle multiple avec R written by Jérôme Pagès and published by EDP Sciences. This book was released on 2013-09-01T00:00:00+02:00 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: L’analyse factorielle multiple (AFM ) est la méthode de référence pour analyser des tableaux de données dans lesquels un ensemble d’individus est décrit par plusieurs groupes de variables, ces dernières pouvant être quantitatives et/ou qualitatives. Ce type de tableau multiple se rencontre dans de nombreux domaines comme les enquêtes (les questionnaires comportent toujours plusieurs thèmes : des opinions, des comportements, etc.) ou les sciences expérimentales (dans l’industrie agro-alimentaire, par exemple, on caractérise les produits à la fois par des données physico-chimiques et des données issues de dégustations). Ce livre est destiné aux utilisateurs confrontés à des tableaux multiples. Une large place est accordée aux applications et à la mise en oeuvre via R. L’objectif est de rendre l’utilisateur autonome dans l’application de l’AFM sur ses données. Dans cet esprit, ce livre : – introduit une à une les principales caractéristiques de la méthode intuitivement à partir d’exemples ; – donne les éléments théoriques nécessaires pour une compréhension en profondeur avec un recours au raisonnement géométrique systématique ; – illustre les résultats à partir des exemples introductifs ; – détaille la marche à suivre pour appliquer l’AFM avec le package FactoMineR ou via des codes R. Ces codes sont disponibles sur le site du LMA 2 (Agrocampus). Cet exposé est complété par une présentation des méthodes classiques, ACP et ACM , elle aussi fondée sur des exemples. L’ensemble constitue l’état de l’art aujourd’hui en analyse factorielle. Jérôme Pagès est professeur de statistique à Agrocampus (Rennes) où il dirige le laboratoire de mathématiques appliquées (LMA2).

Book Multiple Correspondence Analysis and Related Methods

Download or read book Multiple Correspondence Analysis and Related Methods written by Michael Greenacre and published by CRC Press. This book was released on 2006-06-23 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su

Book Data Analysis  Machine Learning and Applications

Download or read book Data Analysis Machine Learning and Applications written by Christine Preisach and published by Springer Science & Business Media. This book was released on 2008-04-13 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Book G  n  ralisation de l analyse factorielle multiple    l   tude des tableaux de fr  quence et comparaison avec l analyse cannonique des correspondances

Download or read book G n ralisation de l analyse factorielle multiple l tude des tableaux de fr quence et comparaison avec l analyse cannonique des correspondances written by L. Abdessemed and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Analyses factorielles simples et multiples   5e   d

Download or read book Analyses factorielles simples et multiples 5e d written by Brigitte Escofier and published by Dunod. This book was released on 2023-07-17 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage est destiné aux étudiants en Masters de mathématiques appliquées, d'économie ou d'économétrie, ainsi qu'aux élèves ingénieurs. Il aborde les méthodes d'analyse de données qui ont démontré leur efficacité dans l'étude des grandes masses complexes d'informations. Cette cinquième édition, entièrement revue et augmentée, a été enrichie de nombreux exercices corrigés.

Book Visualization and Verbalization of Data

Download or read book Visualization and Verbalization of Data written by Jorg Blasius and published by CRC Press. This book was released on 2014-04-10 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience. Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.

Book Multiway Data Analysis

Download or read book Multiway Data Analysis written by R. Coppi and published by North Holland. This book was released on 1989 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects together 45 papers covering various aspects of the analysis of multiway data arrays. Mathematical properties of three-way and multiway arrays are investigated and their utilization for the statistical interpretation of complex data sets is emphasized. The volume is divided into 5 chapters. A specific introduction to each chapter has been prepared by the Editorial Board. Different methods of analysis are considered including: longitudinal and multimode factor analysis, generalized canonical analysis, multidimensional scaling, multiway classification techniques, model based approaches. The reader can find many original contributions to this area, as well as interesting applications in several fields of research such as psychology, economics, sociology and bio-medicine.

Book Correspondence Analysis

Download or read book Correspondence Analysis written by Eric J. Beh and published by John Wiley & Sons. This book was released on 2014-09-04 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years. The main focus of this book is to provide a comprehensive discussion of some of the key technical and practical aspects of correspondence analysis, and to demonstrate how they may be put to use. Particular attention is given to the history and mathematical links of the developments made. These links include not just those major contributions made by researchers in Europe (which is where much of the attention surrounding correspondence analysis has focused) but also the important contributions made by researchers in other parts of the world. Key features include: A comprehensive international perspective on the key developments of correspondence analysis. Discussion of correspondence analysis for nominal and ordinal categorical data. Discussion of correspondence analysis of contingency tables with varying association structures (symmetric and non-symmetric relationship between two or more categorical variables). Extensive treatment of many of the members of the correspondence analysis family for two-way, three-way and multiple contingency tables. Correspondence Analysis offers a comprehensive and detailed overview of this topic which will be of value to academics, postgraduate students and researchers wanting a better understanding of correspondence analysis. Readers interested in the historical development, internationalisation and diverse applicability of correspondence analysis will also find much to enjoy in this book.

Book Analyses Factorielles Simples Et Multiples

Download or read book Analyses Factorielles Simples Et Multiples written by Jérôme Pagès and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette quatrième édition, entièrement revue et augmentée, a été enrichie de thèmes nouveaux : une présentation de l'analyse factorielle sur données mixtes; la prise en compte d'une structure hiérarchique sur les variables dans un tableau (individus x variables) ; une présentation de l'analyse factorielle multiple hiérarchique, prolongement naturel de l'analyse factorielle multiple.

Book Data Analysis

    Book Details:
  • Author : Jacques Janssen
  • Publisher : Springer
  • Release : 2013-12-19
  • ISBN : 1461567904
  • Pages : 370 pages

Download or read book Data Analysis written by Jacques Janssen and published by Springer. This book was released on 2013-12-19 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of the fourth International Symposium on Data Analysis held on June 1985 at the Universite Libre de Bruxelles with the help'of the European Institute for Advanced Management. As the preceding ones, the organization of the Symposium started with a call for real life problems from which an International Com mittee selected six topics and asked for several solutions. These topics are : I) Multivariate and longitudinal data on growing children 2) Prehistoric assemblages and lithic artifacts from a small We- european area 3) A comparison of results of European elections 4) Classification of heterogeneous data related to microcomputers 5) Group technology in production management 6) Juvenile gelinquency They are covered by the S1X chapters of this book in the following systematic way : a) firstly, a presentation of the problem is given in the original context of the relevant discipline (Medicine, archaelogy, politics, marketing, production and education); b) Secondly, we present the solution found by people who presents the problem; c) thirdly, we find the other retained solutions among the most significative ones; v vi PREFACE d) finally, a short conclusion compares the different approaches. The diversity of the six selected problems clearly shows that Data Analysis can be used for solving a wide variety of problems. Moreover, the fact that each problem is approached by several dif ferent way - at least two - also shows that, in general, a "univer sal" statistical method does not exist.

Book An Introduction to Correspondence Analysis

Download or read book An Introduction to Correspondence Analysis written by Eric J. Beh and published by John Wiley & Sons. This book was released on 2021-03-29 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence analysis, including the statistical and visual aspects of the subject. Written in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis. Readers will benefit from explanations of a wide variety of specific topics, for example: Simple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points Non-symmetrical correspondence analysis, including quantifying asymmetric associations Simple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables Multiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking Multi-way correspondence analysis, including symmetric multi-way analysis Perfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data, An Introduction to Correspondence Analysis will also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.

Book Multiple Factor Analysis by Example Using R

Download or read book Multiple Factor Analysis by Example Using R written by Jérôme Pagès and published by CRC Press. This book was released on 2014-11-20 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

Book Int  gration de la contigu  t   en analyse factorielle discriminante et g  n  ralisation de l analyse factorielle multiple aux tableaux de fr  quence

Download or read book Int gration de la contigu t en analyse factorielle discriminante et g n ralisation de l analyse factorielle multiple aux tableaux de fr quence written by Lila Abdessemed and published by . This book was released on 1994 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le principal but de cette thèse consiste à introduire la notion de contiguïté en analyse factorielle discriminante. Dans une première forme, nous l'intégrons à posteriori puisqu'elle n'intervient que dans la phase d'affectation; la technique proposée est plus spécialement conçue pour la discrimination multi -classes et a été illustrée par une application en imagerie satellitaire. Nous proposons une première méthode basée exclusivement sur l'information locale, tandis que dans une seconde méthode, nous éliminons les différences non significatives qui peuvent exister entre les sous-classes d'une classe. par ailleurs, Nous proposons une méthode généralisant l'analyse factorielle multiple aux tableaux de fréquence, permettant ainsi l'étude simultanée de trois types de tableaux différents

Book Data Analysis

    Book Details:
  • Author : Gérard Govaert
  • Publisher : John Wiley & Sons
  • Release : 2013-03-04
  • ISBN : 111861786X
  • Pages : 265 pages

Download or read book Data Analysis written by Gérard Govaert and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.

Book Advances in Data Analysis

    Book Details:
  • Author : Christos H. Skiadas
  • Publisher : Springer Science & Business Media
  • Release : 2009-11-25
  • ISBN : 0817647996
  • Pages : 368 pages

Download or read book Advances in Data Analysis written by Christos H. Skiadas and published by Springer Science & Business Media. This book was released on 2009-11-25 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unified volume is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. The book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.