Probability : a graduate course
Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities,...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Edizioa: | 2nd ed. 2013. |
| Saila: | Springer Texts in Statistics
75 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Probability, a graduate course, Allan Gut, 2nd edition, New York, Springer, 2013, 1 vol. (XXV-600 p.), Springer texts in statistics, 978-1-4614-4707-8 • Probability, a graduate course, Allan Gut, 2nd edition, New York, Springer, 2013, 1 vol. (XXV-600 p.), Springer texts in statistics, 978-1-4614-4707-8 |
Aurkibidea:
- Preface to the First Edition Preface to the Second Edition Outline of Contents Notation and Symbols Introductory Measure Theory Random Variables Inequalities Characteristic Functions Convergence The Law of Large Numbers The Central Limit Theorem The Law of the Iterated Logarithm Limited Theorems Martingales Some Useful Mathematics References Index