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Information Theory And The Central Limit Theorem.
This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concer...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
2004.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn475937135 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr mn|---||||| | ||
| 008 | 091207s2004 si o 000 0 eng d | ||
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| 019 | |a 815741899 | ||
| 020 | |a 9781860945373 |q (electronic bk.) | ||
| 020 | |a 1860945376 |q (electronic bk.) | ||
| 020 | |a 1281866431 | ||
| 020 | |a 9781281866431 | ||
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| 035 | |a (OCoLC)475937135 |z (OCoLC)815741899 | ||
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| 072 | 7 | |a UTP |2 bicssc | |
| 082 | 0 | 4 | |a 519.2 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Johnson, Oliver. | |
| 245 | 1 | 0 | |a Information Theory And The Central Limit Theorem. |
| 260 | |a Singapore : |b World Scientific, |c 2004. | ||
| 300 | |a 1 online resource (224 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concerning their behaviour. It brings together results from a number of research papers as well as unpublished material, showing how the techniques can give a unified view of limit theorems. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Information Theory and The Central Limit Theorem; Preface; Contents; 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A Calculating Entropies; Appendix B Poincare Inequalities; Appendix C de Bruijn Identity; Appendix D Entropy Power Inequality; Appendix E Relationships Between Different Forms of Convergence; Bibliography; Index. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Central limit theorem. | |
| 650 | 6 | |a Théorème central limite. | |
| 650 | 7 | |a Central limit theorem |2 fast | |
| 776 | 1 | |z 9781860944734 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=231540 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL231540 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n 186643 | ||
| 994 | |a 92 |b IZTAP | ||