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Multidimensional Nonlinear Descriptive Analysis, Nishisato, Shizuhiko


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Автор: Nishisato, Shizuhiko
Название:  Multidimensional Nonlinear Descriptive Analysis
ISBN: 9780367390648
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367390647
Обложка/Формат: Paperback
Страницы: 328
Вес: 0.61 кг.
Дата издания: 27.09.2019
Язык: English
Размер: 234 x 150 x 20
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistics for the Biological Sciences
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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 sampled randomly from a normal population and often involve nonlinear relations.

This reference not only provides an overview of multidimensional nonlinear descriptive analysis (MUNDA) of discrete data, it also offers new results in a variety of fields. The first part of the book covers conceptual and technical preliminaries needed to understand the data analysis in subsequent chapters. The next two parts contain applications of MUNDA to diverse data types, with each chapter devoted to one type of categorical data, a brief historical comment, and basic skills peculiar to the data types. The final part examines several problems and then concludes with suggestions for future progress.

Covering both the early and later years of MUNDA research in the social sciences, psychology, ecology, biology, and statistics, this book provides a framework for potential developments in even more areas of study.




Multidimensional Similarity Structure Analysis

Автор: I. Borg; J. Lingoes
Название: Multidimensional Similarity Structure Analysis
ISBN: 146129147X ISBN-13(EAN): 9781461291473
Издательство: Springer
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Цена: 14673.00 р.
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Описание: 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.

Kronecker Modeling and Analysis of Multidimensional Markovian Systems

Автор: Tu?rul Dayar
Название: Kronecker Modeling and Analysis of Multidimensional Markovian Systems
ISBN: 331997128X ISBN-13(EAN): 9783319971285
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This work considers Kronecker-based models with finite as well as countably infinite state spaces for multidimensional Markovian systems by paying particular attention to those whose reachable state spaces are smaller than their product state spaces. Numerical methods for steady-state and transient analysis of Kronecker-based multidimensional Markovian models are discussed in detail together with implementation issues. Case studies are provided to explain concepts and motivate use of methods. Having grown out of research from the past twenty years, this book expands upon the author’s previously published book Analyzing Markov Chains using Kronecker Products (Springer, 2012). The subject matter is interdisciplinary and at the intersection of applied mathematics and computer science. The book will be of use to researchers and graduate students with an understanding of basic linear algebra, probability, and discrete mathematics.

Decision Space: Multidimensional Utility Analysis

Автор: Weirich Paul
Название: Decision Space: Multidimensional Utility Analysis
ISBN: 0521800099 ISBN-13(EAN): 9780521800099
Издательство: Cambridge Academ
Цена: 15206.00 р.
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Описание: In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method, multidimensional utility analysis is a valuable tool in decision theory.

Kronecker Modeling and Analysis of Multidimensional Markovian Systems

Автор: Tu?rul Dayar
Название: Kronecker Modeling and Analysis of Multidimensional Markovian Systems
ISBN: 3030073084 ISBN-13(EAN): 9783030073084
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: This work considers Kronecker-based models with finite as well as countably infinite state spaces for multidimensional Markovian systems by paying particular attention to those whose reachable state spaces are smaller than their product state spaces. Numerical methods for steady-state and transient analysis of Kronecker-based multidimensional Markovian models are discussed in detail together with implementation issues. Case studies are provided to explain concepts and motivate use of methods. Having grown out of research from the past twenty years, this book expands upon the author’s previously published book Analyzing Markov Chains using Kronecker Products (Springer, 2012). The subject matter is interdisciplinary and at the intersection of applied mathematics and computer science. The book will be of use to researchers and graduate students with an understanding of basic linear algebra, probability, and discrete mathematics.

Statistical Image Processing and Multidimensional Modeling

Автор: Paul Fieguth
Название: Statistical Image Processing and Multidimensional Modeling
ISBN: 1461427053 ISBN-13(EAN): 9781461427056
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media).

Grouping Multidimensional Data

Автор: Jacob Kogan; Charles Nicholas; Marc Teboulle
Название: Grouping Multidimensional Data
ISBN: 3642066542 ISBN-13(EAN): 9783642066542
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.

Applied multidimensional scaling and unfolding.

Автор: Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
Название: Applied multidimensional scaling and unfolding.
ISBN: 3319734709 ISBN-13(EAN): 9783319734705
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. 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.).

Fuzzy Set Approach to Multidimensional Poverty Measurement

Автор: Achille A. Lemmi; Gianni Betti
Название: Fuzzy Set Approach to Multidimensional Poverty Measurement
ISBN: 1441941711 ISBN-13(EAN): 9781441941718
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This volume brings together advanced thinking on the multidimensional measurement of poverty.


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