Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download An Introduction To Correspondence Analysis full books in PDF, epub, and Kindle. Read online An Introduction To Correspondence Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : eric clausen sten
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (118 download)
Download or read book Applied Correspondence Analysis written by eric clausen sten and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brigitte Le Roux
Publisher : SAGE
ISBN 13 : 1412968976
Total Pages : 129 pages
Book Rating : 4.4/5 (129 download)
Download or read book Multiple Correspondence Analysis written by Brigitte Le Roux and published by SAGE. This book was released on 2010 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Requiring no prior knowledge of correspondence analysis, this text provides anontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte Le Roux and Henry Rouanet, present the material in a practical manner, keeping the needs of researchers foremost in mind." "This supplementary text isappropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as forindividual researchers." --Book Jacket.
Author : Fionn Murtagh
Publisher : CRC Press
ISBN 13 : 1420034944
Total Pages : 253 pages
Book Rating : 4.4/5 (2 download)
Download or read book Correspondence Analysis and Data Coding with Java and R written by Fionn Murtagh and published by CRC Press. This book was released on 2005-05-26 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater
Author : Benzecri
Publisher : CRC Press
ISBN 13 : 058536303X
Total Pages : 684 pages
Book Rating : 4.5/5 (853 download)
Download or read book Correspondence Analysis Handbook written by Benzecri and published by CRC Press. This book was released on 1992-01-22 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical reference/text presents a complete introduction to the practice of data analysis - clarifying the geometrical language used, explaining the formulae, reviewing linear algebra and multidimensional Euclidean geometry, and including proofs of results. It is intended as either a self-study guide for professionals involved in experimental
Author : Johs. Hjellbrekke
Publisher : Routledge
ISBN 13 : 1315516241
Total Pages : 118 pages
Book Rating : 4.3/5 (155 download)
Download or read book Multiple Correspondence Analysis for the Social Sciences written by Johs. Hjellbrekke and published by Routledge. This book was released on 2018-06-18 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple correspondence analysis (MCA) is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930–2002). This book will introduce readers to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards. MCA represents and models data sets as clouds of points in a multidimensional Euclidean space. The interpretation of the data is based on these clouds of points. In seven chapters, this non-technical book will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class-specific MCA on subgroups. Special attention will be given to the construction of social spaces, to the construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on statistics. The main emphasis is on how to apply MCA to the analysis of practical research questions. It does not require a solid understanding of statistics and/or mathematics, and provides the reader with the needed knowledge to do analyses on his/her own.
Author : Michael Greenacre
Publisher : Academic Press
ISBN 13 :
Total Pages : 400 pages
Book Rating : 4.3/5 (91 download)
Download or read book Correspondence Analysis in the Social Sciences written by Michael Greenacre and published by Academic Press. This book was released on 1994-09-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of the book deals with basic concepts of correspondence analysis and related methods for analyzing cross-tabulations. It then looks at the multivariate case when there are several variables of interest, including the relationship to cluster analysis, factor analysis and reliability of measurement. Applications to longitudinal data: event history data, panel data and trend data are demonstrated.
Author : Susan C. Weller
Publisher : SAGE
ISBN 13 : 9780803937505
Total Pages : 100 pages
Book Rating : 4.9/5 (375 download)
Download or read book Metric Scaling written by Susan C. Weller and published by SAGE. This book was released on 1990 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a set of closely related techniques that facilitate the exploration and display of a wide variety of multivariate data, both categorical and continuous. Three methods of metric scaling, correspondence analysis, principal components analysis, and multiple dimensional preference scaling are explored in detail for strengths and weaknesses over a wide range of data types and research situations. "The introduction illustrates the methods with a small dataset. This approach is effective--in a few minutes, with no mathematical requirement, the reader can understand the capabilities, similarities, and differences of the methods. . . . Numerical examples facilitate learning. The authors use several examples with small datasets that illustrate very well the links and the differences between the methods. . . . we find this text very good and recommend it for graduate students and social science researchers, especially those who are interested in applying some of these methods and in knowing the relationship among them." --Journal of Marketing Research "Illustrate[s] the service Sage provides by making high-quality works on research methods available at modest prices. . . . The authors use several interesting examples of practical applications on data sets, ranging from contraception preferences, to pottery shards from archeological digs, to durable consumer goods from market research. These examples indicate the broad range of possible applications of the method to social science data." --Contemporary Sociology "The book is a bargain; it is clearly written." --Journal of Classification
Author : Michael Greenacre
Publisher : CRC Press
ISBN 13 : 1498731783
Total Pages : 327 pages
Book Rating : 4.4/5 (987 download)
Download or read book Correspondence Analysis in Practice written by Michael Greenacre and published by CRC Press. This book was released on 2017-01-20 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.
Author : Michael Greenacre
Publisher : CRC Press
ISBN 13 : 1420011316
Total Pages : 607 pages
Book Rating : 4.4/5 (2 download)
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
Author : Eric J. Beh
Publisher : John Wiley & Sons
ISBN 13 : 1119041961
Total Pages : 240 pages
Book Rating : 4.1/5 (19 download)
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 2021-03-19 with total page 240 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.
Author : Michael J. Greenacre
Publisher : Fundacion BBVA
ISBN 13 : 8492384689
Total Pages : 241 pages
Book Rating : 4.4/5 (923 download)
Download or read book Biplots in Practice written by Michael J. Greenacre and published by Fundacion BBVA. This book was released on 2010 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro explica las aplicaciones específicas y las interpretaciones del biplot en muchas áreas del análisis multivariante. regresión, modelos lineales generalizados, análisis de componentes principales, análisis de correspondencias y análisis discriminante.
Author : Michael J. Greenacre
Publisher :
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.3/5 (91 download)
Download or read book Theory and Applications of Correspondence Analysis written by Michael J. Greenacre and published by . This book was released on 1984 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometric concepts in multidimensional space; Simple illustrations of correspondence analysis; Theory of correspondence analysis and equivalent approaches; Multiple correspondence analysis; Correspondence analysis of ratings and preferences; Use of correspondence analysis in discriminant analysis, classification, regression and cluster analysis; Special topics; Applications of correspondence analysis.
Author : Alboukadel KASSAMBARA
Publisher : STHDA
ISBN 13 : 1975721136
Total Pages : 171 pages
Book Rating : 4.9/5 (757 download)
Download or read book Practical Guide To Principal Component Methods in R written by Alboukadel KASSAMBARA and published by STHDA. This book was released on 2017-08-23 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too advanced. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods in R. The visualization is based on the factoextra R package that we developed for creating easily beautiful ggplot2-based graphs from the output of PCMs. This book contains 4 parts. Part I provides a quick introduction to R and presents the key features of FactoMineR and factoextra. Part II describes classical principal component methods to analyze data sets containing, predominantly, either continuous or categorical variables. These methods include: Principal Component Analysis (PCA, for continuous variables), simple correspondence analysis (CA, for large contingency tables formed by two categorical variables) and Multiple CA (MCA, for a data set with more than 2 categorical variables). In Part III, you'll learn advanced methods for analyzing a data set containing a mix of variables (continuous and categorical) structured or not into groups: Factor Analysis of Mixed Data (FAMD) and Multiple Factor Analysis (MFA). Part IV covers hierarchical clustering on principal components (HCPC), which is useful for performing clustering with a data set containing only categorical variables or with a mixed data of categorical and continuous variables.
Author : N. Kakwani
Publisher : Springer
ISBN 13 : 0230582354
Total Pages : 290 pages
Book Rating : 4.2/5 (35 download)
Download or read book Quantitative Approaches to Multidimensional Poverty Measurement written by N. Kakwani and published by Springer. This book was released on 2008-02-21 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in light of the latest developments in the field of multidimensional poverty measurement. It includes clear presentations of more than a dozen different quantitative techniques and provides empirical illustrations based on data sources from developed or developing countries.
Author : Mónica Bécue-Bertaut
Publisher : CRC Press
ISBN 13 : 1351816357
Total Pages : 158 pages
Book Rating : 4.3/5 (518 download)
Download or read book Textual Data Science with R written by Mónica Bécue-Bertaut and published by CRC Press. This book was released on 2019-03-11 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.
Author : Francois Husson
Publisher : CRC Press
ISBN 13 : 1315301865
Total Pages : 263 pages
Book Rating : 4.3/5 (153 download)
Download or read book Exploratory Multivariate Analysis by Example Using R written by Francois Husson and published by CRC Press. This book was released on 2017-04-25 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a
Author : Thomas Medvetz
Publisher : Oxford University Press
ISBN 13 : 0190874619
Total Pages : 689 pages
Book Rating : 4.1/5 (98 download)
Download or read book The Oxford Handbook of Pierre Bourdieu written by Thomas Medvetz and published by Oxford University Press. This book was released on 2018-04-02 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pierre Bourdieu was one of the most influential social thinkers of the past half-century, known for both his theoretical and methodological contributions and his wide-ranging empirical investigations into colonial power in Algeria, the educational system in France, the forms of state power, and the history of artistic and scientific fields-among many other topics. Despite the depth and breadth of his influence, however, Bourdieu's legacy has yet to be assessed in a comprehensive manner. The Oxford Handbook of Pierre Bourdieu fills this gap by offering a sweeping overview of Bourdieu's impact on the social sciences and humanities. Thomas Medvetz and Jeffrey J. Sallaz have gathered a diverse array of leading scholars who place Bourdieu's work in the wider scope of intellectual history, trace the development of his thought, offer original interpretations and critical engagement, and discuss the likely impact of his ideas on future social research. The Handbook highlights Bourdieu's contributions to established areas of research-including the study of markets, the law, cultural production, and politics-and illustrates how his concepts have generated new fields and objects of study.
