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Probability Theory by Klenke Achim (40 results)
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Probability Theory: A Comprehensive Course (Universitext)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Fine. 633 pp., paperback, fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Condition: As New. Unread book in perfect condition.
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Probability Theory. A Comprehensive Course.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
2nd Ed. XII, 638 p. Softcover. 2nd ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Universitext. Sprache: Englisch.
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Probability Theory: A Comprehensive Course (Universitext)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good. Cover and edges may have some wear.
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Probability Theory: A Comprehensive Course (Universitext)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 44.90
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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PF. Condition: New.
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Probability Theory : A Comprehensive Course
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 44.88
US$ 19.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. pp. XIV, 716 55 illus., 24 illus. in color. 3 Edition NO-PA16APR2015-KAP.
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Probability Theory
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 3rd ed. 2020. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variablesmartingalespercolationMarkov chains and electrical networksconstruction of stochastic processesPoisson point process and infinite divisibilitylarge deviation principles and statistical physicsBrownian motionstochastic integrals and stochastic differential equations. The presentation is self-contained and mathematically rigorous, with the material on probability theory interspersed with chapters on measure theory to better illustrate the power of abstract concepts.This third edition has been carefully extended and includes new features, such as concise summaries at the end of each section and additional questions to encourage self-reflection, as well as updates to the figures and computer simulations. With a wealth of examples and more than 290 exercises, as well as biographical details of key mathematicians, it will be of use to students and researchers in mathematics, statistics, physics, computer science, economics and biology.
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Probability Theory : A Comprehensive Course
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.50
US$ 19.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pp. XIV, 716 55 illus., 24 illus. in color.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Probability Theory
Published by Springer Nature Switzerland AG, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pp. XIV, 716 55 illus., 24 illus. in color.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New.
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Softcover. Condition: Very good. Base of spine noticeably bumped.
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Condition: new.
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Probability Theory (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Paperback. Condition: new. Paperback. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variablesmartingalespercolationMarkov chains and electrical networksconstruction of stochastic processesPoisson point process and infinite divisibilitylarge deviation principles and statistical physicsBrownian motionstochastic integrals and stochastic differential equations. The presentation is self-contained and mathematically rigorous, with the material on probability theory interspersed with chapters on measure theory to better illustrate the power of abstract concepts.This third edition has been carefully extended and includes new features, such as concise summaries at the end of each section and additional questions to encourage self-reflection, as well as updates to the figures and computer simulations. With a wealth of examples and more than 290 exercises, as well as biographical details of key mathematicians, it will be of use to students and researchers in mathematics, statistics, physics, computer science, economics and biology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Probability Theory
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Paperback. Condition: New. 3rd ed. 2020. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variablesmartingalespercolationMarkov chains and electrical networksconstruction of stochastic processesPoisson point process and infinite divisibilitylarge deviation principles and statistical physicsBrownian motionstochastic integrals and stochastic differential equations. The presentation is self-contained and mathematically rigorous, with the material on probability theory interspersed with chapters on measure theory to better illustrate the power of abstract concepts.This third edition has been carefully extended and includes new features, such as concise summaries at the end of each section and additional questions to encourage self-reflection, as well as updates to the figures and computer simulations. With a wealth of examples and more than 290 exercises, as well as biographical details of key mathematicians, it will be of use to students and researchers in mathematics, statistics, physics, computer science, economics and biology.
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Condition: NEW.
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Probability Theory: A Comprehensive Course
Published by Springer Nature Switzerland AG, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. 3rd ed. 2020. Paperback. . . . . .
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Probability Theory
Published by Springer International Publishing, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Condition: New. Provides a complete introduction to probability theory, including measure theory and scientific applicationsNew updated edition includes concise summaries of each section, as well as outlooks and questions in the textClearly written.
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Probability Theory: A Comprehensive Course
Published by Springer Nature Switzerland AG, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Condition: New. 2020. 3rd ed. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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Paperback. Condition: Brand New. 3rd edition. 716 pages. 9.00x6.25x1.50 inches. In Stock.
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Probability Theory
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
US$ 60.87
US$ 85.53 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 3rd ed. 2020. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variablesmartingalespercolationMarkov chains and electrical networksconstruction of stochastic processesPoisson point process and infinite divisibilitylarge deviation principles and statistical physicsBrownian motionstochastic integrals and stochastic differential equations. The presentation is self-contained and mathematically rigorous, with the material on probability theory interspersed with chapters on measure theory to better illustrate the power of abstract concepts.This third edition has been carefully extended and includes new features, such as concise summaries at the end of each section and additional questions to encourage self-reflection, as well as updates to the figures and computer simulations. With a wealth of examples and more than 290 exercises, as well as biographical details of key mathematicians, it will be of use to students and researchers in mathematics, statistics, physics, computer science, economics and biology.
-
Probability Theory
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Paperback. Condition: New. 3rd ed. 2020. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as magnetism, genetic diversity and market volatility, and also to construct efficient algorithms. Starting with the very basics, this textbook covers a wide variety of topics in probability, including many not usually found in introductory books, such as: limit theorems for sums of random variablesmartingalespercolationMarkov chains and electrical networksconstruction of stochastic processesPoisson point process and infinite divisibilitylarge deviation principles and statistical physicsBrownian motionstochastic integrals and stochastic differential equations. The presentation is self-contained and mathematically rigorous, with the material on probability theory interspersed with chapters on measure theory to better illustrate the power of abstract concepts.This third edition has been carefully extended and includes new features, such as concise summaries at the end of each section and additional questions to encourage self-reflection, as well as updates to the figures and computer simulations. With a wealth of examples and more than 290 exercises, as well as biographical details of key mathematicians, it will be of use to students and researchers in mathematics, statistics, physics, computer science, economics and biology.
