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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,...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Gut, Allan (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2013.
Édition:2nd ed. 2013.
Collection:Springer Texts in Statistics, 75
Sujets:
Accès en ligne:Texto Completo
Table des matières:
  • 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.