Book by Durrett Richard
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This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Rick Durrett received his PhD in Operations Research from Stanford University in 1976. After nine years at UCLA and twenty-five at Cornell University, he moved to Duke University in 2010, where he is a Professor of Mathematics. He is the author of eight books and more than 170 journal articles on a wide variety of topics, and he has supervised more than 40 PhD students. He is a member of the National Academy of Science and the American Academy of Arts and Sciences and a Fellow of the Institute of Mathematical Statistics.
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Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_445693781
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Hardback. Etat : Very Good. This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is a rigorous graduate text and reference. Operating under the philosophy that the best way to learn probability is to see it in action, the book contains extended examples that apply the theory to concrete applications. This fifth edition contains a new chapter on multidimensional Brownian motion and its relationship to PDEs, an advanced topic that is finding new applications. Setting the foundation for this expansion, Chapter 7 now features a proof of It 's formula. Key exercises that previously were simply proofs left to the reader have been directly inserted into the text as lemmas. The new edition reinstates discussion about the central limit theorem for martingales and stationary sequences. N° de réf. du vendeur 00100605236
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Hardback. Etat : Very Good. This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is a rigorous graduate text and reference. Operating under the philosophy that the best way to learn probability is to see it in action, the book contains extended examples that apply the theory to concrete applications. This fifth edition contains a new chapter on multidimensional Brownian motion and its relationship to PDEs, an advanced topic that is finding new applications. Setting the foundation for this expansion, Chapter 7 now features a proof of It 's formula. Key exercises that previously were simply proofs left to the reader have been directly inserted into the text as lemmas. The new edition reinstates discussion about the central limit theorem for martingales and stationary sequences. N° de réf. du vendeur CIN0534243185VG
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Vendeur : Ammareal, Morangis, France
Hardcover. Etat : Très bon. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur I-490-519
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Vendeur : Antiquariat Bookfarm, Löbnitz, Allemagne
Hardcover. Etat : Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 DUR 9780534243180 Sprache: Englisch Gewicht in Gramm: 1150. N° de réf. du vendeur 2506440
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Vendeur : YESIBOOKSTORE, MIAMI, FL, Etats-Unis
hardcover. Etat : As New. N° de réf. du vendeur 0534243185-VB
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Vendeur : Antiquariat Bernhardt, Kassel, Allemagne
Karton Karton. Etat : Sehr gut. 2. Auflage,. 503 Seiten, mit Abbildungen, Zust: Gutes Exemplar. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 860. N° de réf. du vendeur 361316
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Vendeur : Moe's Books, Berkeley, CA, Etats-Unis
Hard cover. Etat : Good. No jacket. Spine cocked, some rubbing on covers. Corners and edges worn, some superficial separation of title page from binding. Clean and unmarked in main text. N° de réf. du vendeur 1131799
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Allemagne
Hardcover. Etat : gut. 1995. Probability : Theory and Examples : Second Edition In englischer Sprache. pages. N° de réf. du vendeur BN134107
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