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Author: Brigitte Le Roux
Publisher: Dunod
ISBN: 2100700537
Category : Psychology
Languages : fr
Pages : 416
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Book Description
Dans cet ouvrage consacré aux données multidimensionnelles, l’optique adoptée est celle de l’approche française d’analyse des données, avec ses caractéristiques : géométrique, formelle, statistique. L’exposé est ici progressif et présente les méthodes classiques : régression, classification, analyse en composantes principales, analyse des correspondances simples et multiples. Les méthodes sont illustrées par des exercices, basés sur des données réelles, accompagnés de solutions et de commentaires, et par des analyses de données « grandeur nature », en particulier celles concernant la dernière recherche empirique de Pierre Bourdieu. Véritable outil pédagogique, ce livre prépare le lecteur à se confronter aux données, à les analyser en passant par la mise en oeuvre informatique.
Author: Brigitte Le Roux
Publisher: Dunod
ISBN: 2100700537
Category : Psychology
Languages : fr
Pages : 416
Get Book Here
Book Description
Dans cet ouvrage consacré aux données multidimensionnelles, l’optique adoptée est celle de l’approche française d’analyse des données, avec ses caractéristiques : géométrique, formelle, statistique. L’exposé est ici progressif et présente les méthodes classiques : régression, classification, analyse en composantes principales, analyse des correspondances simples et multiples. Les méthodes sont illustrées par des exercices, basés sur des données réelles, accompagnés de solutions et de commentaires, et par des analyses de données « grandeur nature », en particulier celles concernant la dernière recherche empirique de Pierre Bourdieu. Véritable outil pédagogique, ce livre prépare le lecteur à se confronter aux données, à les analyser en passant par la mise en oeuvre informatique.
Author: Brigitte Le Roux
Publisher: CRC Press
ISBN: 1351651331
Category : Mathematics
Languages : en
Pages : 234
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Book Description
Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a reference population (combinatorial test) or to a reference value of a location parameter (geometric test), and on problems of homogeneity, that is the comparison of several groups for two basic designs. These methods involve the use of combinatorial procedures to build a reference set in which we place the data. The chosen test statistics lead to original extensions, such as the geometric interpretation of the observed level, and the construction of a compatibility region. Features: Defines precisely the object under study in the context of multidimensional procedures, that is clouds of points Presents combinatorial tests and related computations with R and Coheris SPAD software Includes four original case studies to illustrate application of the tests Includes necessary mathematical background to ensure it is self–contained This book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be used for a specialized course taught at either master or PhD level.
Author: Brigitte Le Roux
Publisher: Springer Science & Business Media
ISBN: 1402022360
Category : Mathematics
Languages : en
Pages : 484
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Book Description
Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.
Author: Jorg Blasius
Publisher: CRC Press
ISBN: 1466589809
Category : Mathematics
Languages : en
Pages : 394
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Book Description
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.
Author: Martin Welker
Publisher: Herbert von Halem Verlag
ISBN: 3869622687
Category : Business & Economics
Languages : en
Pages : 462
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Book Description
Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.
Author: Jean-Paul Auray
Publisher:
ISBN:
Category :
Languages : fr
Pages : 581
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Book Description
Author: Jean-Paul Auray
Publisher: Lacassagne
ISBN: 9782905972248
Category :
Languages : fr
Pages : 167
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Book Description
Author: Jörg Blasius
Publisher: Springer Nature
ISBN: 3030153878
Category : Social Science
Languages : en
Pages : 444
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Book Description
This book provides an in-depth view on Bourdieu’s empirical work, thereby specially focusing on the construction of the social space and including the concept of the habitus. Themes described in the book include amongst others: • the theory and methodology for the construction of “social spaces”, • the relation between various “fields” and “the field of power”, • formal construction and empirical observation of habitus, • the formation, accumulation, differentiation of and conversion between different forms of capital, • relations in geometric data analysis. The book also includes contributions regarding particular applications of Bourdieu’s methodology to traditional and new areas of research, such as the analysis of institutional, international and transnational fields. It further provides a systematic introduction into the empirical construction of the social space.
Author: Gérard Govaert
Publisher: John Wiley & Sons
ISBN: 111861786X
Category : Mathematics
Languages : en
Pages : 265
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Book Description
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.
Author: Lisa McCormick
Publisher: Springer Nature
ISBN: 3031114205
Category : Social Science
Languages : en
Pages : 451
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Book Description
This edited collection develops the Strong Program’s contribution to the sociological study of the arts and places it in conversation with other cultural perspectives in the field. Presenting some of the newest and most original research by both renowned figures and early career scholars, the volume marks a new stage in the development of the cultural sociology of art and music. The chapters in Part 1 set new agendas by reflecting on the field’s history, presenting theoretical innovations, and suggesting future directions for research. Part 2 explores aesthetic issues and challenges in the creation, experience, and interpretation of art and music. Part 3 focuses on the material environments and social settings where people engage with art and music. In Part 4, the contributors examine controversies about music and contestation over artistic matters, whether in the public sphere, in the American judicial system, or in an emerging academic discipline. The editor’s introduction and Ron Eyerman's afterword place the chapters in context and reflect on their collective contribution to meaning-centered sociology.
