The Information Theory of Comparisons With Applications to Statistics and the Social Sciences /
This book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspe...
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| Hlavní autor: | |
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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Singapore ,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9789811315503 |
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Obsah:
- Chapter 1. Partition entropy
- Chapter 2. Entropic shifting Perspectives and Applications
- Chapter 3. Moments, Measures and Metrics
- Chapter 4. Information Comparisons in Practice
- Chapter 5. Binary Perspectives for Spread and Asymmetry
- Chapter 6. Higher Dimensions
- Chapter 7. Entropy, Risk and Comparability.