This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:
- Indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems
- Attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject
- Providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing textbooks
Since this is a textbook, essentially all proofs are given in complete detail (even at the risk of repetition), and some key results are given multiple proofs when each argument has something to contribute.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is a revised and expanded edition of a successful graduate and reference text. The book is designed for a standard graduate course on probability theory, including some important applications. The new edition offers a detailed treatment of the core area of probability, and both structural and limit results are presented in detail. Compared to the first edition, the material and presentation are better highlighted; each chapter is improved and updated. 552 pp. Englisch. N° de réf. du vendeur 9780387277301
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains a detailed treatment of the distinguishing features of probability theory - namely independence, conditioning and their many applications - leading to a comparative focus on Brownian motion and Poisson processes with extensions.This i. N° de réf. du vendeur 5909663
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