Multidimensional Scaling Second Edition
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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.
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.
Modern Multidimensional Scaling
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Author : I. Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-27
Modern Multidimensional Scaling written by I. 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 2007-04-27 with Social Science categories.
Multidimensionalscaling(MDS)isatechniquefortheanalysisofsimilarity 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 forasetofcountries.MDSattemptstomodelsuchdataasdistancesamong pointsinageometricspace.Themainreasonfordoingthisisthatonewants 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 mapthedata,themappingfunction,thealgorithmsusedto?ndanoptimal 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 di?erent purposes for which MDS has been used, to various ways of looking at or “interpreting” an MDS representation, or to di?erences in the data required for the particular models. Inthisbook,wegiveafairlycomprehensivepresentationofMDS.Forthe reader with applied interests only, the ?rst six chapters of Part I should be su?cient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.
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).
Applied Statistics
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Author : Olive Jean Dunn
language : en
Publisher:
Release Date : 1987-05-11
Applied Statistics written by Olive Jean Dunn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-05-11 with Mathematics categories.
Descriptive statistics. Statistical inference: populations and samples. Inference from a single sample. Samples from two populations. One-way analysis of variance: fixed effects model. Hierarchical or nested design. Two-way analysis of variance: fixed effects model. Three-way analysis of variance: fixed effects model. Factorial designs with each factor at two levels. Variable effects models. Repeated measure designs. Linear regression and correlation. Multiple regression: the fixed X model. Multiple regression and correlation analysis. Analysis of covariance. Data screening.
Statistical Methods For The Analysis Of Biomedical Data
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Author : Robert F. Woolson
language : en
Publisher:
Release Date : 1987-10-05
Statistical Methods For The Analysis Of Biomedical Data written by Robert F. Woolson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-10-05 with Mathematics categories.
The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance. * Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.
An Introduction To Multivariate Statistical Analysis
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Author : Theodore W. Anderson
language : en
Publisher:
Release Date : 1984-09-28
An Introduction To Multivariate Statistical Analysis written by Theodore W. Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-09-28 with Mathematics categories.
1. Introduction; 2. The multivariate normal distribution; 3. Estimation of the mean vector and the covariance matrix; 4. Distributions and uses of sample correlation coefficients; 5. The generalized T2-Statistic; 6. Classification of observations; 7. The distribution of the sample covariance matrix and the sample generalized variance; 8. Testing the general linear hypothesis; Multivariate analysis of variance; 9. Testing independence of sets of variates; 10. Testing hypothesis of equality of coariance matrices and equality of mean vectors and covariance matrices; 11. Principal components; 12. Canonical correlations and canonical variables; 13. The distributions of characteristic roots and vectors; 14. Factor analysis.
Elements Of Applied Stochastic Processes
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Author : U. Narayan Bhat
language : en
Publisher:
Release Date : 1984-10-25
Elements Of Applied Stochastic Processes written by U. Narayan Bhat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-10-25 with Mathematics categories.
Fundamentals of Queueing Theory, 2nd Edition Donald Gross and Carl M. Harris A graduate text and reference treating queueing theory from the development of standard models to applications. The emphasis is on real analysis of queueing systems, applications, and problem solving. It has been brought up-to-date by modernizing older treatments. 1985 (0 471-89067-7) 475 pp. Multivariate Descriptive Analysis Correspondence Analysis and Related Techniques for Large Matrices Ludovic Lebart, Alain Morineau and Kenneth M. Warwick Presents a set of statistical methods for exploratory analysis of large date sets and categorical data. This unique approach uses graphical aspects of multidimensional scaling techniques within the context of exploratory data analysis. 1984 (0 471-86743-8) 231 pp. Introduction to Linear Regression Analysis Douglas C. Montgomery and Elizabeth A. Peck A definitive introduction to linear regression analysis covering basic topics as well as recent approaches in the field. It blends theory and application in a way that enables readers to apply regression methodology in a variety of practical settings. Many detailed examples drawn directly from various fields of engineering, physical science, and the management sciences provide clear guidance to the use of the techniques. The interface with widely available computer programs for regression analysis is illustrated throughout with numerous actual computer printouts. 1982 (0 471-05850-5) 504 pp.
Finite Algorithms In Optimization And Data Analysis
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Author : M. R. Osborne
language : en
Publisher:
Release Date : 1985-12-23
Finite Algorithms In Optimization And Data Analysis written by M. R. Osborne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-12-23 with Mathematics categories.
The significance and originality of this book derive from its novel approach to those optimization problems in which an active set strategy leads to a finite algorithm, such as linear and quadratic programming or l1 and l approximations.
Systems In Stochastic Equilibrium
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Author : Peter Whittle
language : en
Publisher: John Wiley & Sons
Release Date : 1986
Systems In Stochastic Equilibrium written by Peter Whittle and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematics categories.
Systems in Stochastic Equilibrium presents a study of Statistical Equilibrium in systems of interacting components. The central theory of the work is the interaction known as weak coupling, which can be applied to models in both scientific and socio-economic fields. The author has included much new material on subjects such as weak coupling, partial balance and insensitivity, polymerisation, ecological competition and role- adaption in interaction models. Other topics covered include the relation of spatial processes to equilibrium concepts, reversibility and its variants, and the use of convex analysis to clarify the extremal criteria which characterise statistical equilibria.