Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion, Christian Servin; Vladik Kreinovich

Автор: Jianguo Sun
Название: The Statistical Analysis of Interval-censored Failure Time Data
ISBN: 1441921923 ISBN-13(EAN): 9781441921925
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic and complements the books on right-censored data.

Автор: Meisen
Название: Analyzing Time Interval Data
ISBN: 3658157275 ISBN-13(EAN): 9783658157272
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
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Цена: 19325.00 р.
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Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang
Название: Computing Statistics under Interval and Fuzzy Uncertainty
ISBN: 3642445705 ISBN-13(EAN): 9783642445705
Издательство: Springer
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Цена: 23508.00 р.
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Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.

Автор: Chenyi Hu; R. Baker Kearfott; Andre de Korvin; Vla
Название: Knowledge Processing with Interval and Soft Computing
ISBN: 1849967849 ISBN-13(EAN): 9781849967846
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Interval computing combined with fuzzy logic is an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications. This accessible book, a must-read for those in AI, provides introductions for both interval and fuzzy computing.