Multidimensional Analysis
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Multidimensional Real Analysis Ii
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Author : Johannes Jisse Duistermaat
language : en
Publisher:
Release Date : 2004-05-06
Multidimensional Real Analysis Ii written by Johannes Jisse Duistermaat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-06 with Mathematics categories.
Part two of the authors' comprehensive and innovative work on multidimensional real analysis. This book is based on extensive teaching experience at Utrecht University and gives a thorough account of integral analysis in multidimensional Euclidean space. It is an ideal preparation for students who wish to go on to more advanced study. The notation is carefully organized and all proofs are clean, complete and rigorous. The authors have taken care to pay proper attention to all aspects of the theory. In many respects this book presents an original treatment of the subject and it contains many results and exercises that cannot be found elsewhere. The numerous exercises illustrate a variety of applications in mathematics and physics. This combined with the exhaustive and transparent treatment of subject matter make the book ideal as either the text for a course, a source of problems for a seminar or for self study.
Multidimensional Analysis
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Author : George W. Hart
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-03-17
Multidimensional Analysis written by George W. Hart 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 1995-03-17 with Mathematics categories.
This book deals with the mathematical properties of dimensioned quantities, such as length, mass, voltage, and viscosity. Beginning with a careful examination of how one expresses the numerical results of a measurement and uses these results in subsequent manipulations, the author rigorously constructs the notion of dimensioned numbers and discusses their algebraic structure. The result is a unification of linear algebra and traditional dimensional analysis that can be extended from the scalars to which the traditional analysis is perforce restricted to multidimensional vectors of the sort frequently encountered in engineering, systems theory, economics, and other applications.
E Learning As A Socio Cultural System A Multidimensional Analysis
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Author : Zuzevičiūtė, Vaiva
language : en
Publisher: IGI Global
Release Date : 2014-06-30
E Learning As A Socio Cultural System A Multidimensional Analysis written by Zuzevičiūtė, Vaiva and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with Education categories.
Information and communication technologies play a crucial role in a number of modern industries. Among these, education has perhaps seen the greatest increases in efficiency and availability through Internet-based technologies. E-Learning as a Socio-Cultural System: A Multidimensional Analysis provides readers with a critical examination of the theories, models, and best practices in online education from a social perspective, evaluating blended, distance, and mobile learning systems with a focus on the interactions of their practitioners. Within the pages of this volume, teachers, students, administrators, policy makers, and IT professionals will all find valuable advice and enriching personal experiences in the field of online education.
Multidimensional Similarity Structure Analysis
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Author : I. Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Multidimensional Similarity Structure Analysis 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 2012-12-06 with Mathematics categories.
Multidimensional Similarity Structure Analysis comprises a class of models that represent similarity among entities (for example, variables, items, objects, persons, etc.) in multidimensional space to permit one to grasp more easily the interrelations and patterns present in the data. The book is oriented to both researchers who have little or no previous exposure to data scaling and have no more than a high school background in mathematics and to investigators who would like to extend their analyses in the direction of hypothesis and theory testing or to more intimately understand these analytic procedures. The book is repleted with examples and illustrations of the various techniques drawn largely, but not restrictively, from the social sciences, with a heavy emphasis on the concrete, geometric or spatial aspect of the data representations.
Modern Multidimensional Scaling
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Author : I. Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-04
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 2005-08-04 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.
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 enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.
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).
Methods For The Analysis Of Asymmetric Proximity Data
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Author : Giuseppe Bove
language : en
Publisher: Springer Nature
Release Date : 2021-08-14
Methods For The Analysis Of Asymmetric Proximity Data written by Giuseppe Bove and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-14 with Mathematics categories.
This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
Multidimensional Approach To Quality Of Life Issues
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Author : Braj Raj Kumar Sinha
language : en
Publisher: Springer Nature
Release Date : 2019-08-27
Multidimensional Approach To Quality Of Life Issues written by Braj Raj Kumar Sinha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-27 with Psychology categories.
This comprehensive volume provides a broad overview of quality of life issues covering a wide geographical region: North America, Europe, parts of Africa, East Asia, and South Asia. Spread over more than 25 chapters, it includes the latest findings from these regions to provide a multidisciplinary account of the major dimensions of quality of life, and therefore has a vast scope. The volume is divided into four thematic parts: theoretical dimension; Demographic dimension; socio-cultural and economic dimensions; and urban and environment related dimensions. Extensive maps, diagrams and tables accompany the discussions and facilitate understanding. This is an indispensable reference and serves the interest of students and scholars of human geography, economics, demography, sociology, anthropology, social work, and philosophy. It is particularly useful for those engaged in further research on quality of life issues.
Data Mining Southeast Asia Edition
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Author : Jiawei Han
language : en
Publisher: Elsevier
Release Date : 2006-04-06
Data Mining Southeast Asia Edition written by Jiawei Han and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-06 with Computers categories.
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. - A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data - Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning - Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects - Complete classroom support for instructors at www.mkp.com/datamining2e companion site