Probability: a graduate course /
Material type:
TextPublication details: New York: Springer, 2013Edition: 2nd edDescription: xxv, 600 p. 25 cmISBN: 9781461447078 (hardback : acidfree paper)Subject(s): Probabilities | Distribution (Probability theory) | Probabilistic number theoryDDC classification: 519.24
Contents:
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.-
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
General Books
|
Central Library, Sikkim University | 519.2 GUT/P (Browse shelf(Opens below)) | Available | 47448 |
Total holds: 0
Includes bibliographical references (pages 577-586) and index.
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.-
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