Items related to Information Measures: Information and its Description...
Synopsis
From the reviews: "Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [...] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool." IEEE Engineering in Medicine and Biology
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Review
"Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, such as are generated from genome mapping, make sense of them, and render them accessible to scientists working on a wide variety of problems. "Information Measures: Information and its Description in Science and Engineering" can be such a tool."
IEEE Engineering in Medicine and Biology
From the Back Cover
This book is an introduction to the mathematical description of information in science and engineering. The necessary mathematical theory will be treated in a more vivid way than in the usual theorem-proof structure. This enables the reader to develop an idea of the connections between different information measures and to understand the trains of thoughts in their derivation. As there exist a great number of different possible ways to describe information, these measures are presented in a coherent manner. Some examples of the information measures examined are: Shannon information, applied in coding theory; Akaike information criterion, used in system identification to determine auto-regressive models and in neural networks to identify the number of neu-rons; and Cramer-Rao bound or Fisher information, describing the minimal variances achieved by unbiased estimators. This softcover edition addresses researchers and students in electrical engineering, particularly in control and communications, physics, and applied mathematics.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2001
- ISBN 10 3540416331
- ISBN 13 9783540416333
- BindingHardcover
- LanguageEnglish
- Number of pages567
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Information measures : information and its description in science and engineering. C. Arndt
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Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 2001
ISBN 10: 3540416331
ISBN 13: 9783540416333
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Information Measures: Information and its Description in Science and Engineering
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Information Measures: Information and its Description in Science and Engineering
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Information Measures: Information and its Description in Science and Engineering
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Information Measures: Information and its Description in Science and Engineering
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Information Measures
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Springer Berlin Heidelberg, 2001
ISBN 10: 3540416331
ISBN 13: 9783540416333
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As a survey of information measures this book can serve as an introduction to information theoryWritten for non-mathematicians, i.e. engineers and scientistsRelevant for many established and novel applications in Science, Communications,. Seller Inventory # 4889346
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Information Measures
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Springer Berlin Heidelberg Mrz 2001, 2001
ISBN 10: 3540416331
ISBN 13: 9783540416333
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -From the reviews: 'Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [.] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool.' IEEE Engineering in Medicine and Biology 572 pp. Englisch. Seller Inventory # 9783540416333
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Information Measures : Information and its Description in Science and Engineering
Published by
Springer Berlin Heidelberg, 2001
ISBN 10: 3540416331
ISBN 13: 9783540416333
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended to be an introduction to the mathematical description of information in science. The necessary mathematical theory of this introduction will be treated in a more vivid way than in the usual theorem-proof structure. This, however, enables us to develop an idea of the connections between different information measures and to understand the trains of thought in their derivation, which is a crucial point for correct applications. It is therefore our intention in the mathematical descriptions to evolve the important ideas of the derivations, so that we obtain the resulting functions as well as the main thoughts and the conditions for the validity of the result. This simplifies the handling of the information measures, which are sometimes hard to classify without any additional background information. Though the mathematical descriptions are the exact formulations of the measures examined, we do not restrict ourselves to rigorous mathematical considerations, but we will also integrate the different measures into the structure and context of possible information measures. Nevertheless the mathematical approach is unavoidable when we are looking for an objective description and for possible applications in optimization. Seller Inventory # 9783540416333
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Information Measures: Information and its Description in Science and Engineering
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Information Measures
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