Weak Convergence (IA): Sequences of Random Vectors
Saint Louis: Statistics and Probability African Society, 2021
Online
Bibliografie, Sammelwerk, Elektronische Ressource
- 1 online resource (271 pages)
Ermittle Ausleihstatus...
This monograph aims at presenting the core weak convergence theory for sequences of random vectors with values in Rk. In some places, a more general formulation in metric spaces is provided.
Front Pages -- Contents -- General Preface -- General Preface of Our Series of Weak Convergence -- Preface of The Series Weak Convergence: Sequence of Random Vectors -- Chapter 1. Review of Usual Weak Convergence Results in Rk -- Chapter 2. Weak Convergence Theory -- Chapter 3. Uniform Tightness and Asymptotic Tightness -- Chapter 4. Specific Tools for Weak Convergence in R -- Chapter 5. The functional Empirical Process As a General Tool in Asymptotic Statistics -- Chapter 6. Weak convergence of bounded measures -- Ultimate remarks -- Chapter 7. Elements of Theory of Functions and Real Analysis -- Bibliography -- Alphabetical Index.
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Weak Convergence (IA): Sequences of Random Vectors
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Verantwortlichkeitsangabe: | edited by Gane Samb Lo [and three others] |
Autor/in / Beteiligte Person: | Lo, Gane Samb [editor.] |
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Veröffentlichung: | Saint Louis: Statistics and Probability African Society, 2021 |
Medientyp: | Bibliografie, Sammelwerk |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 online resource (271 pages) |
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