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Add to basket2nd 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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Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
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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.
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Add to basketpaperback. Condition: Very Good. Cover and edges may have some wear.
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Add to basketCondition: 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.
Published by Springer Nature Switzerland AG, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
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Add to basketCondition: New. pp. XIV, 716 55 illus., 24 illus. in color. 3 Edition NO-PA16APR2015-KAP.
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Add to basketCondition: New. pp. XIV, 716 55 illus., 24 illus. in color.
Published by Springer Nature Switzerland AG, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
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Paperback. Condition: Brand New. 3rd edition. 716 pages. 9.00x6.25x1.50 inches. In Stock.
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Published by Springer International Publishing, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 variables martingales percolation Markov chains and electrical networks construction of stochastic processes Poisson point process and infinite divisibility large deviation principles and statistical physics Brownian motion stochastic 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.
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
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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.
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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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.
Published by Springer International Publishing, 2020
ISBN 10: 3030564010 ISBN 13: 9783030564018
Language: English
Seller: moluna, Greven, Germany
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Add to basketKartoniert / Broschiert. 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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Add to basketSoftcover. Condition: Very good. Base of spine noticeably bumped.
Paperback. Condition: Brand New. 3rd edition. 716 pages. 9.00x6.25x1.50 inches. In Stock.
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Add to basketCondition: New. Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks.
Paperback. Condition: Brand New. 1st edition. 616 pages. 9.00x6.25x1.25 inches. In Stock.
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Add to basketPaperback. Condition: new. Paperback. A Comprehensive Course. Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.