Concepts and Recent Advances in Generalized Information Measures and Statistics
Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms and statistical complexities have proven to be useful in diverse scientific research fields. This book contains introductory tutorials suitab...
| Основен автор: | Kowalski, Andres M. |
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| Формат: | Електронен |
| Език: | English |
| Публикувано: |
Sharjah :
Bentham Science Publishers,
2013.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=681647 |
| Подобни документи: |
Print version::
Concepts and Recent Advances in Generalized Information Measures and Statistics. |
| Резюме: |
Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms and statistical complexities have proven to be useful in diverse scientific research fields. This book contains introductory tutorials suitable for the general reader, together with chapters dedicated to the basic concepts of the most frequently employed information measures or quantifiers and their recent applications to different areas, including physics, biology, medicine, economics, communication and social sciences. As these quantif. |
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| Физически характеристики: |
1 online resource (432 pages) |
| ISBN: |
9781608057603 1608057607 |