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Author: Claudia Becker
Publisher: Springer Science & Business Media
ISBN: 3642354947
Category : Mathematics
Languages : en
Pages : 377
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Book Description
This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.
Author: Claudia Becker
Publisher: Springer Science & Business Media
ISBN: 3642354947
Category : Mathematics
Languages : en
Pages : 377
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Book Description
This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.
Author: Claudia Becker
Publisher:
ISBN: 9783642354953
Category :
Languages : en
Pages : 392
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Book Description
Author: Klaus Nordhausen
Publisher: Springer
ISBN: 3319224042
Category : Mathematics
Languages : en
Pages : 513
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Book Description
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
Author: Abdelhak M. Zoubir
Publisher: Cambridge University Press
ISBN: 1108680488
Category : Technology & Engineering
Languages : en
Pages : 315
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Book Description
Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.
Author: Ansgar Steland
Publisher: Springer Nature
ISBN: 3031071557
Category : Mathematics
Languages : en
Pages : 378
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Book Description
This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply machine learning methods, demonstrating the benefits of statistics for modeling and analyzing high-dimensional and big data. The book’s expert contributions include theoretical studies of machine learning methods, expositions of general methodologies for sound statistical analyses of data as well as novel approaches to modeling and analyzing data for specific problems and areas. In terms of applications, the contributions deal with data as arising in industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and data scientists, as well as engineers and computer scientists working in related fields or applications.
Author: Thomas A. Runkler
Publisher: Springer Science & Business Media
ISBN: 3834825891
Category : Computers
Languages : en
Pages : 140
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Book Description
This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. The text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. This book has been used for more than ten years in numerous courses at the Technical University of Munich, Germany, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.
Author: Jacques-Emile Dubois
Publisher: Springer Science & Business Media
ISBN: 3642801994
Category : Science
Languages : en
Pages : 298
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Book Description
J.-E DUBOIS and N. GERSHON As with Volume 1 in this series, this book was inspired by the Symposium on "Communications and Computer Aided Systems" held at the 14th International CODATA Conference in September 1994 in Chambery, France. This book was conceived and influenced by the discussions at the Symposium and most of the contributions were written following the Conference. Whereas the first volume dealt with the numerous challenges facing the information revolution, especially its communication aspects, this one provides an insight into the recent tools provided by computer science for handling the complex aspects of scientific and technological data. This volume, "Modeling Complex Data for Creating Information," is concerned with real and virtual objects often involved with data handling processes encountered frequently in modeling physical phenomena and systems behavior. Topics concerning modeling complex data for creating information include: • Object oriented approach for structuring data and knowledge • Imprecision and uncertainty in information systems • Fractal modeling and shape and surface processing • Symmetry applications for molecular data The choice of these topics reflects recent developments in information systems technologies. One example is object oriented technology. Recently, research, development and applications have been using object-oriented modeling for computer handling of data and data management. Object oriented technology offers increasingly easy-to-use software applications and operating systems. As a result, science and technology research and applications can now provide more flexible and effective services.
Author:
Publisher: SIAM
ISBN: 9780898713138
Category : Mathematics
Languages : en
Pages : 532
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Book Description
Annotation Proceedings of a conference that took place in Austin, Texas in January 1993. Contributors are impressive names from the field of computer science, including Donald Knuth, author of several computer books of "biblical" importance. The diverse selection of paper topics includes dynamic point location, ray shooting, and the shortest paths in planar maps; optimistic sorting and information theoretic complexity; and an optimal randomized algorithm for the cow-path problem. No index. Annotation copyright by Book News, Inc., Portland, OR.
Author: Yaser Mohammed Al-Worafi
Publisher: CRC Press
ISBN: 1040154913
Category : Science
Languages : en
Pages : 535
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Book Description
Six volumes combine to make up the Handbook of Complementary, Alternative, and Integrative Medicine: Education, Practice, and Research, which describes the education, practice, and research-related issues of complementary, alternative, and integrative medicine; and its efficacy and safety in treating diseases and health conditions. Further the volumes review integrative medicine around the world to share the best practices and experiences in terms of education, practice, and research; and identify the challenges and suggest recommendations to overcome them. The 20 chapters of Volume 3 focus on complementary, alternative, and integrative medicine research-related issues. It begins with a history of complementary, alternative, and integrative medicine research and continues with coverage of the different research issues such as complementary and alternative medicine (CAM) research importance, plans, proposals, funding, ethical issues, study designs, methods, advantages and disadvantages for each method, best practices in CAM research, and publications. Key Features: · Describes the complementary, alternative, and integrative medicine research-related issues · Describes the complementary and alternative medicine importance, plans and funding issues · Describes the complementary, alternative, and integrative medicine research methodology with examples · Describes the challenges of complementary, alternative, and integrative medicine research and suggest recommendations to overcome them
Author: Csaba D. Toth
Publisher: CRC Press
ISBN: 1498711421
Category : Computers
Languages : en
Pages : 1951
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Book Description
The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists, covering all major aspects of both fields. The book offers the most important results and methods in discrete and computational geometry to those who use them in their work, both in the academic world—as researchers in mathematics and computer science—and in the professional world—as practitioners in fields as diverse as operations research, molecular biology, and robotics. Discrete geometry has contributed significantly to the growth of discrete mathematics in recent years. This has been fueled partly by the advent of powerful computers and by the recent explosion of activity in the relatively young field of computational geometry. This synthesis between discrete and computational geometry lies at the heart of this Handbook. A growing list of application fields includes combinatorial optimization, computer-aided design, computer graphics, crystallography, data analysis, error-correcting codes, geographic information systems, motion planning, operations research, pattern recognition, robotics, solid modeling, and tomography.
