probability theory analytic view de stroock daniel (38 resultados)

Trade paperback. Condición: New in new dust jacket. 2nd Revised edition. INTERNATIONAL EDITI. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Trade paperback (US). 548 p. Audience: Professional and scholarly.

paperback. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Soft cover. Condición: New. Estado de la sobrecubierta: New. 2nd Edition, International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.

paperback. Condición: Very Good. Cover and edges may have some wear.

paperback. Condición: Good.

Paperback. Condición: Very Good. Revised. Type: Book 1999 edition.Small plain label inside cover.

Hardcover-Großformat. Condición: Gut. 512 Seiten In ENGLISCHER Sprache. Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). Original-Schutzumschlag vorhanden (siehe Foto). Sprache: Englisch Gewicht in Gramm: 1120.

Hardcover. Condición: Fine. Estado de la sobrecubierta: Fine. Fine, glossy green dust jacket with gray and white lettering, sturdy black cloth boards, bright white pages, clean and unmarked, crisp feel.

Softcover (Printed Wrappers). Condición: Fine+. Estado de la sobrecubierta: No Dust Jacket. Revised Edition. Original green printed wrappers. Slight shelfwear. ; 17.5x25x2.8 cm; xvi, 536 pages.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:0521431239.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780521132503.

Condición: New.

Paperback. Condición: new. Paperback. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory. This text provides a rigorous, yet entertaining, introduction to modern probability theory and the analytic ideas and tools on which it relies. The third edition includes a new treatment of the Gaussian isoperimetric inequality and numerous improvements and clarifications. With more than 750 exercises, it is ideal for first-year graduate students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780521132503.

Condición: New. 3rd edition niversity Press NO-PA16APR2015-KAP.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: VG. Estado de la sobrecubierta: Very Good. used hardcover in a dust jacket. jacket is slightly worn about the edges, but with no tears and not price clipped. previous owners name on front past down. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.

Condición: New.

Condición: New. In.

Condición: New.

Paperback. Condición: New. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory.

Paperback. Condición: New. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory.

Condición: As New. Unread book in perfect condition.

Soft Cover. Condición: Near Fine. No Jacket. Paperback First Edition. 536pp. 10 inches. No dw. Unused unread, as-new book, no owner's marks, minimal shelfwear. Intended for gradate students with a good grasp of undergraduate probability and modern analysis. Heavy book, weight 1kg before packaging. (Mathematics, Statistics, Probability) Size: Large 8vo.

Paperback. Condición: new. Paperback. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory. This text provides a rigorous, yet entertaining, introduction to modern probability theory and the analytic ideas and tools on which it relies. The third edition includes a new treatment of the Gaussian isoperimetric inequality and numerous improvements and clarifications. With more than 750 exercises, it is ideal for first-year graduate students. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: Brand New. 3rd edition. 466 pages. 10.00x0.94x10.00 inches. In Stock.

gebundene Ausgabe. Condición: Sehr gut. Zust: Gutes Exemplar. Mit original Schutzumschlag. Schutzumschlag hinten verschmutzt. XV, 528 Seiten, Englisch 1110g.

Paperback. Condición: new. Paperback. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory. This text provides a rigorous, yet entertaining, introduction to modern probability theory and the analytic ideas and tools on which it relies. The third edition includes a new treatment of the Gaussian isoperimetric inequality and numerous improvements and clarifications. With more than 750 exercises, it is ideal for first-year graduate students. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.