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
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, Cambridge, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Hardcover. Condition: new. Hardcover. 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. 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 readers. The material is covered precisely, while avoiding excessive technical details. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press CUP, 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
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
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
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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Add to basketCondition: 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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Add to basketHardcover. Condition: Brand New. 429 pages. 10.25x7.25x1.00 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Add to basketHardcover. Condition: new. Hardcover. 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. 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 readers. The material is covered precisely, while avoiding excessive technical details. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press Nov 2017, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Language: English
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Add to basketBuch. Condition: Neu. Neuware - 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
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Add to basketHardcover. Condition: Brand New. 429 pages. 10.25x7.25x1.00 inches. In Stock. This item is printed on demand.