Author: Francis Gendre
Publisher:
ISBN:
Category : Administrative procedure
Languages : fr
Pages : 264

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Author:
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ISBN:
Category :
Languages : fr
Pages : 0

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IDAMS-MF user manual for the analysis of numerical data and the management of numerical data bases, covering univariate and bivariate statistics, and multivariate statistical techniques.

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ISBN:
Category : Social sciences
Languages : fr
Pages : 1046

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Author: Jérôme Pagès
Publisher: EDP Sciences
ISBN: 2759810852
Category : Mathematics
Languages : fr
Pages : 269

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Book Description
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).

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Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 646

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ISBN:
Category : Economics
Languages : en
Pages : 646

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Author: Albert W. Marshall
Publisher: Springer Science & Business Media
ISBN: 0387682767
Category : Mathematics
Languages : en
Pages : 919

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This book’s first edition has been widely cited by researchers in diverse fields. The following are excerpts from reviews. “Inequalities: Theory of Majorization and its Applications” merits strong praise. It is innovative, coherent, well written and, most importantly, a pleasure to read. ... This work is a valuable resource!” (Mathematical Reviews). “The authors ... present an extremely rich collection of inequalities in a remarkably coherent and unified approach. The book is a major work on inequalities, rich in content and original in organization.” (Siam Review). “The appearance of ... Inequalities in 1979 had a great impact on the mathematical sciences. By showing how a single concept unified a staggering amount of material from widely diverse disciplines–probability, geometry, statistics, operations research, etc.–this work was a revelation to those of us who had been trying to make sense of his own corner of this material.” (Linear Algebra and its Applications). This greatly expanded new edition includes recent research on stochastic, multivariate and group majorization, Lorenz order, and applications in physics and chemistry, in economics and political science, in matrix inequalities, and in probability and statistics. The reference list has almost doubled.

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ISBN:
Category : Economics
Languages : ja
Pages : 870

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Author: Debbie L. Hahs-Vaughn
Publisher: Routledge
ISBN: 1317811364
Category : Psychology
Languages : en
Pages : 812

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Book Description
More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader’s master key concepts so they can implement and interpret results generated by today’s sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a ‘mathematical snapshot’ that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what’s to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text’s datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors

Author: Herman Aguinis
Publisher: Guilford Press
ISBN: 9781572309692
Category : Social Science
Languages : en
Pages : 230

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Book Description
Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr).