Multidimensional Scaling Second Edition


Multidimensional Scaling Second Edition
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Multidimensional Scaling Second Edition


Multidimensional Scaling Second Edition
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Author : Trevor F. Cox
language : en
Publisher: CRC Press
Release Date : 2000-09-28

Multidimensional Scaling Second Edition written by Trevor F. Cox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-28 with Mathematics categories.


Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.



Modern Multidimensional Scaling


Modern Multidimensional Scaling
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Author : Ingwer Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18

Modern Multidimensional Scaling written by Ingwer Borg and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-18 with Mathematics categories.


Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.



Multidimensional Scaling


Multidimensional Scaling
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Author : Trevor F. Cox
language : en
Publisher:
Release Date : 2001

Multidimensional Scaling written by Trevor F. Cox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with MATHEMATICS categories.




Applied Multidimensional Scaling And Unfolding


Applied Multidimensional Scaling And Unfolding
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Author : Ingwer Borg
language : en
Publisher: Springer
Release Date : 2018-05-16

Applied Multidimensional Scaling And Unfolding written by Ingwer Borg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-16 with Computers categories.


This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).



Multidimensional Scaling Second Edition


Multidimensional Scaling Second Edition
DOWNLOAD

Author : Trevor F. Cox
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2000-09-28

Multidimensional Scaling Second Edition written by Trevor F. Cox and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-28 with Mathematics categories.


Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.



Applied Multidimensional Scaling


Applied Multidimensional Scaling
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Author : Ingwer Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-30

Applied Multidimensional Scaling written by Ingwer Borg and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-30 with Computers categories.


This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.



The User S Guide To Multidimensional Scaling


The User S Guide To Multidimensional Scaling
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Author : Anthony Peter Macmillan Coxon
language : en
Publisher: Heinemann Educational Publishers
Release Date : 1982

The User S Guide To Multidimensional Scaling written by Anthony Peter Macmillan Coxon and has been published by Heinemann Educational Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computer programs categories.




Multidimensional Scaling


Multidimensional Scaling
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Author : Joseph B. Kruskal
language : en
Publisher: SAGE Publications
Release Date : 1978-01-01

Multidimensional Scaling written by Joseph B. Kruskal and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978-01-01 with Social Science categories.


Outlines a set of techniques that enable a researcher to discuss the "hidden structure" of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.



Handbook Of Data Visualization


Handbook Of Data Visualization
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Author : Chun-houh Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-18

Handbook Of Data Visualization written by Chun-houh Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-18 with Computers categories.


Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.



Modern Multidimensional Scaling


Modern Multidimensional Scaling
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Author : I. Borg
language : en
Publisher: Springer
Release Date : 2008-11-01

Modern Multidimensional Scaling written by I. Borg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Social Science categories.


The first edition was released in 1996 and has sold close to 2200 copies. Provides an up-to-date comprehensive treatment of MDS, a statistical technique used to analyze the structure of similarity or dissimilarity data in multidimensional space. The authors have added three chapters and exercise sets. The text is being moved from SSS to SSPP. The book is suitable for courses in statistics for the social or managerial sciences as well as for advanced courses on MDS. All the mathematics required for more advanced topics is developed systematically in the text.