Download or read book Dual Scaling of Multidimensional Data Structures an Extended Comparison of Three Methods written by Daniel Robert Lawrence and published by . This book was released on 1985 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Elements of Dual Scaling written by Shizuhiko Nishisato and published by Psychology Press. This book was released on 2014-04-04 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantification methodology of categorical data is a popular topic in many branches of science. Most books, however, are either too advanced for those who need it, or too elementary to gain insight into its potential. This book fills the gap between these extremes, and provides specialists with an easy and comprehensive reference, and others with a complete treatment of dual scaling methodology -- starting with motivating examples, followed by an introductory discussion of necessary quantitative skills, and ending with different perpsectives on dual scaling with examples, advanced topics, and future possibilities. This book attempts to successively upgrade readers' readiness for handling analysis of qualitative, categorical, and non-metric data, without overloading them. The writing style is very friendly, and difficult topics are always accompanied by simple illlustrative examples. There are a number of topics on dual scaling which were previously addressed only in journal articles or in publications that are not readily available. Integration of these topics into the standard framework makes the current book unique, and its extensive coverage of relevant topics is unprecedented. This book will serve as both reference and textbook for all those who want to analyze categorical data effectively.
Download or read book Challenges at the Interface of Data Analysis Computer Science and Optimization written by Wolfgang Gaul and published by Springer Science & Business Media. This book was released on 2012-02-09 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
Download or read book Optimal Analysis of Qualitative Data with Illustrations written by Shizuhiko Nishisato and published by Cambridge Scholars Publishing. This book was released on 2024-09-13 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introductory book on how to optimally analyze non-quantitative data, based on the author’s experiences over 60 years of research. The major message to the readers is that qualitative (non-quantitative) data are much more informative than quantitative data. This is good news for readers in applied areas of statistics such as those in the social sciences and marketing research, where qualitative data are everywhere. But how can one analyze qualitative data quantitatively and extract more information than from the sophisticated analysis of quantitative data? The key rests in illustrations of difficult topics in a way that anyone can understand. It is the author’s wish soon the use of AI will open a gate for simple means for optimal analysis of qualitative data, as illustrated throughout the book.
Download or read book Data Expert Knowledge and Decisions written by Wolfgang A. Gaul and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-disciplinary research on how computer-assisted decision making can be supported by sophisticated data analysis techniques and recent developments in knowledge-based systems research are described in this volume, with emphasis on marketing applications. Aspects dealt with include market-share analysis (spreadsheet based), media planning, stochastic market modelling, marketing data analysis and new product introduction management (all knowledge-based, partly using PROLOG). These contributions emphasize links between decision support, expert knowledge research and marketing. Other application areas are debt and credit management and personnel disposition (KEE based), portfolio management (PROLOG based) and vehicle scheduling. Concrete interconnections between data analysis and marketing can be seen in the contributions on classification and unfolding of market data, market segmentation by forced classification, conjoint analysis applications, ideal point product mapping, MDS in telecommunications pricing and multi-mode marketing data evaluations.
Download or read book Multidimensional Nonlinear Descriptive Analysis written by Shizuhiko Nishisato and published by CRC Press. This book was released on 2006-06-26 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sam
Download or read book Multiway Data Analysis written by R. Coppi and published by North Holland. This book was released on 1989 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects together 45 papers covering various aspects of the analysis of multiway data arrays. Mathematical properties of three-way and multiway arrays are investigated and their utilization for the statistical interpretation of complex data sets is emphasized. The volume is divided into 5 chapters. A specific introduction to each chapter has been prepared by the Editorial Board. Different methods of analysis are considered including: longitudinal and multimode factor analysis, generalized canonical analysis, multidimensional scaling, multiway classification techniques, model based approaches. The reader can find many original contributions to this area, as well as interesting applications in several fields of research such as psychology, economics, sociology and bio-medicine.
Download or read book Classification as a Tool of Research written by Classification Society. Meeting and published by North Holland. This book was released on 1986 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work contains a selection of papers presented at the meeting. The subjects covered include: Data analysis: Methods of scaling, Loglinear models, Correspondence analysis, Pattern recognition and discrimination, Analysis and aggregation of discrete structures, Measures of similarity and association. Numerical classification: Clustering methods, Robustness of methods, Fuzzy clustering, Statistical models. Concept analysis: Construction and reconstruction of concepts, Theories of characteristics and of definitions, Impact on artificial intelligence. Indexing languages and terminologies as information resources: Classification systems, Thesauri, Conceptual structure utilization, Identification of analogies. Software tools (especially on microcomputers): Availability of programs, Interfaces to data base systems, Information retrieval systems, Method base systems, Graphical representation, Comparisons of algorithms. Applications of classification examined here include economics, business administration, natural sciences, social science and humanities, chemistry research, library science, and linguistics. Contributors: P. Arabie, I. Balderjahn, P.M. Bentler, H.-H. Bock, I.
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1993 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstracts of dissertations available on microfilm or as xerographic reproductions.
Download or read book DGOR written by Dieter Pressmar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieser Band enthält eine vollständige Dokumentation über das wissenschaftliche Programm der 17. Jahrestagung der Deutschen Gesellschaft für Operations Research in Berlin. Besondere Schwerpunkte weist diese Tagung auf den Gebieten Mathematische Optimierung, Decision Support Systeme und Anwendungen der KI-Forschung auf. Einen breiten Raum nehmen die Bereiche Produktionsplanung, Produktionssteuerung, Flexible Fertigungssysteme und Materialwirtschaft ein. Dazu kommen OR-Anwendungen für Banken, Versicherungsbetriebe und im Marketing sowie Beiträge über den Stand der Entscheidungstheorie, Kontrolltheorie und Zuverlässigkeitstheorie. Arbeiten über Simulation und Simulationswerkzeuge, über Datenanalyse und Prognoseverfahren sowie über die Theorie der Fuzzy Sets runden das breite thematische Spektrum ab.
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1985 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1989 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analysis and Informatics IV written by Institut national de recherche en informatique et en automatique (France) and published by North Holland. This book was released on 1986 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The SAGE Handbook of Quantitative Methods in Psychology written by Roger E Millsap and published by SAGE. This book was released on 2009-07-23 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: `I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
Download or read book Algorithms and Data Structures for External Memory written by Jeffrey Scott Vitter and published by Now Publishers Inc. This book was released on 2008 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.
Download or read book Modern Multidimensional Scaling written by Ingwer Borg and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
