Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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ISBN 10: 1108415857 ISBN 13: 9781108415859
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Verlag: Cambridge University Press 2017-11-02, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
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ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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ISBN 10: 1108415857 ISBN 13: 9781108415859
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Verlag: Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Zustand: 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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Verlag: Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press Nov 2017, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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Buch. Zustand: 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.
Verlag: Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Introduction to Probability | David F Anderson (u. a.) | Buch | Gebunden | Englisch | 2017 | Cambridge University Press | EAN 9781108415859 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Verlag: Cambridge University Press, GB, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press, Cambridge, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardcover. Zustand: Brand New. 429 pages. 10.25x7.25x1.00 inches. In Stock. This item is printed on demand.
Verlag: Cambridge University Press, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1165.
Verlag: Cambridge University Press, Cambridge, 2017
ISBN 10: 1108415857 ISBN 13: 9781108415859
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.