Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Published by Cambridge University Press 2017-11-02, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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ISBN 10: 1108415857 ISBN 13: 9781108415859
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Published by Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Hardback. Condition: New. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Published by Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
Seller: moluna, Greven, Germany
Condition: New. This textbook is an introduction to probability theory with the right balance between mathematical precision, probabilistic intuition, and concrete applications. It is intended for students with a calculus background, as well as for independent learners and.
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Published by MP-AMM American Mathematical, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Published by Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Hardback. Condition: New. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Published by American Mathematical Society, Providence, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Hardcover. Condition: new. Hardcover. The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics.This volume is based on lectures delivered at the 2017 AMS Short Course ``Random Growth Models'', held January 2-3, 2017 in Atlanta, GA.The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth. Based on lectures delivered at the 2017 AMS Short Course Random Growth Models, held in 2017. The articles give an introduction to the most-studied models; first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Published by American Mathematical Society, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Published by American Mathematical Society, Providence, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Hardcover. Condition: new. Hardcover. The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics.This volume is based on lectures delivered at the 2017 AMS Short Course ``Random Growth Models'', held January 2-3, 2017 in Atlanta, GA.The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth. Based on lectures delivered at the 2017 AMS Short Course Random Growth Models, held in 2017. The articles give an introduction to the most-studied models; first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by American Mathematical Society, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
Seller: moluna, Greven, Germany
Condition: New. Based on lectures delivered at the 2017 AMS Short Course Random Growth Models , held in 2017. The articles give an introduction to the most-studied models first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing o.
Published by Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Published by American Mathematical Society Nov 2018, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Buch. Condition: Neu. Neuware - Based on lectures delivered at the 2017 AMS Short Course 'Random Growth Models", held in 2017. The articles give an introduction to the most-studied models; first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation.
Published by American Mathematical Society, 2018
ISBN 10: 1470435535 ISBN 13: 9781470435530
Language: English
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Published by Cambridge University Press
ISBN 10: 1108415857 ISBN 13: 9781108415859
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Hardcover. Condition: Brand New. 429 pages. 10.25x7.25x1.00 inches. In Stock. This item is printed on demand.