Information Measures
Information and its Description in Science and Engineering
(Sprache: Englisch)
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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Klappentext zu „Information Measures “
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
Inhaltsverzeichnis zu „Information Measures “
- Abstract- Introduction
- Basic considerations
- Historic development of information theory
- The concept of entropy in physics
- Extension of Shannon's information
- Generalized entropy measures
- Information functions and gaussian distributions
- Shannon's information of discrete distributions
- Information functions for gaussian distributions part II
- Bounds of the variance
- Ambiguity function
- Akaike's information criterion
- Channel information
- Deterministic and stochastic information
- Maximum entropy estimation
- Concluding remarks
- Appendix
- Bibliography
Bibliographische Angaben
- Autor: Christoph Arndt
- 2001, 572 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540416331
- ISBN-13: 9783540416333
- Erscheinungsdatum: 27.03.2001
Sprache:
Englisch
Rezension zu „Information Measures “
"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."
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