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Titlebook: Exploratory Data Analysis Using Fisher Information; B. Roy Frieden,Robert A. Gatenby Book 2007 Springer-Verlag London 2007 EPI.Entropy.Est

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书目名称Exploratory Data Analysis Using Fisher Information
编辑B. Roy Frieden,Robert A. Gatenby
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概述Only book in which EPI, a form of information theory, is discussed in terms of its applications rather its theoretical underpinnings.Valuable new approach for those working in data mining, pattern rec
图书封面Titlebook: Exploratory Data Analysis Using Fisher Information;  B. Roy Frieden,Robert A. Gatenby Book 2007 Springer-Verlag London 2007 EPI.Entropy.Est
描述"Sustainability" is often used in a qualitative sense. However, there is at present a great need to quantitatively measure (and monitor) its many qualitative aspects in real systems. Real systems are regarded as sustainable if they can maintain their current, desirable productivity and character without creating unfavorable condi­ tions elsewhere or in the future [1-4]. Sustainability therefore incorporates both concern for the future of the current system (temporal sustainability) and concern about the degree to which some areas and cultures of the planet are improved at the expense of other areas and cultures (spatial sustainability). That is, sustainability is to hold over both space and time. Sustainability encompasses many disciplines. For example, economic systems are not sustainable if they degrade their natural resource base and impoverish some sectors of the human population [5, 6]. Indices are needed that will measure sustainability through time, and over space, at several scales. These indices must also have the ability to aggregate the many disciplinary facets of sustainability, often incorporatedthrough a large number of environmental, social, and economic variables. S
出版日期Book 2007
关键词EPI; Entropy; Estimation of Probability Laws; Estimation of System Laws; Fisher Information; Fluctuations
版次1
doihttps://doi.org/10.1007/978-1-84628-777-0
isbn_softcover978-1-84996-615-3
isbn_ebook978-1-84628-777-0
copyrightSpringer-Verlag London 2007
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https://doi.org/10.1007/978-1-4899-6485-4tions 2.1 and 2.2) demonstrate how constraints based on knowledge of system data can be used .. This is by the use of a form of extreme physical information (EPI) known as minimum Fisher information (MFI). The third application (Section 2.3) shows how optimum . can arise out of the application of EP
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Disambiguating Kant for the Sake of Science,g covert information in a host distribution is presented here. This is based upon the use of Fisher information, in particular its quantum mechanical connotations. This use of Fisher information nicely supplements its use in other chapters of the book, where it is shown how Fisher information can be
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