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On measures of information and their characterizations /
On measures of information and their characterizations.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Academic Press,
1975.
|
| Colección: | Mathematics in science and engineering ;
v. 115. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; On Measures of Information and Their Characterizations; Copyright Page; Contents; Preface; Chapter 0. Introduction. Entropy of a Single Event. Functional Equations; 0.1 Introduction, History; 0.2 Entropy of One Event; 0.3 The Cauchy Functional Equation and Related Equations; 0.4 Completely Additive Number Theoretical Functions; Chapter 1. Shannon's Measure of Information; 1.1 Shannon's Entropy; 1.2 Algebraic Properties of the Shannon Entropy; 1.3 Analytic Properties of the Shannon Entropy. Inequalities
- 1.4 Some Simple Examples of Applications of Entropies to Logical Games and Coding1.5 Coding; 1.6 Optimal Coding and Entropy; Chapter 2. Some Desirable Properties of Entropies and Their Correlations. The Hincin and Faddeev Characterizations of Shannon's Entropy; 2.1 A List of Desiderata for Entropies; 2.2 Generalized Representations; 2.3 Correlations and Simple Consequences of the Desiderata; 2.4 The Shannon-Hincin and the Faddeev Characterizations of the Shannon Entropy; Chapter 3. The Fundamental Equation of Information; 3.1 Information Functions
- 3.2 Information Functions Continuous at the Origin-Entropies Which Are Small for Small Probabilities3.3 Nonnegative Bounded Information Functions and Entropies; 3.4 Measurable Information Functions and Entropies; 3.5 The General Solution of the Fundamental Equation of Information; Chapter 4. Further Characterizations of tbe Shannon Entropy; 4.1 The Branching Property; 4.2 Entropies with the Sum Property; 4.3 Characterization of the Shannon Entropy by the Shannon Inequality; 4.4 Subadditive Additive Entropies; Chapter 5. R�enyi Entropies; 5.1 Entropies and Mean Values
- 5.2 Equality of Average Probabilities. Additivity of Average Entropies5.3 R�enyi Entropies for Possibly Incomplete Distributions; 5.4 Optimal Coding and R�enyi Entropies; 5.5 Characterization of �-Averages; Chapter 6. Generalized Information Functions; 6.1 Relative Information; 6.2 Information Functions of Degree a; 6.3 Generalized Entropies; Chapter 7. Further Measures of Information; 7.1 Further Entropies. Other Measures of Information Derived Algebraically from Entropies; 7.2 Further Measures of Information Depending on Two Probability Distributions
- 7.3 Some Measures of Information Depending on Three DistributionsReferences; Author Index; Subject Index