Sprache: Englisch
Verlag: Great Source Education Group Inc, 2003
ISBN 10: 0669500488 ISBN 13: 9780669500486
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Sprache: Englisch
Verlag: Great Source Education Group Inc, 2003
ISBN 10: 0669500488 ISBN 13: 9780669500486
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Verlag: Great Source Education Group Inc, 2003
ISBN 10: 0669500488 ISBN 13: 9780669500486
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Sprache: Englisch
Verlag: Great Source Education Group Inc, 2000
ISBN 10: 0669471542 ISBN 13: 9780669471540
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Verlag: Great Source Education Group Inc, 2000
ISBN 10: 0669471542 ISBN 13: 9780669471540
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Verlag: Great Source Education Group Inc, 2000
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Sprache: Englisch
Verlag: Great Source Education Group, 2003
ISBN 10: 0669500488 ISBN 13: 9780669500486
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Sprache: Englisch
Verlag: Great Source Education Group, 2003
ISBN 10: 066950047X ISBN 13: 9780669500479
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Sprache: Englisch
Verlag: Great Source Education Group, Incorporated, 2003
ISBN 10: 0669500488 ISBN 13: 9780669500486
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Sprache: Englisch
Verlag: World Scientific Publishing, 2023
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Sprache: Englisch
Verlag: World Scientific Publishing Company 6/29/2021, 2021
ISBN 10: 9811238510 ISBN 13: 9789811238512
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ISBN 10: 1944660542 ISBN 13: 9781944660543
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Verlag: World Scientific Publishing, 2021
ISBN 10: 9811237492 ISBN 13: 9789811237492
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Sprache: Englisch
Verlag: World Scientific Publishing, 2021
ISBN 10: 9811237492 ISBN 13: 9789811237492
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paperback. Zustand: New. Paperback. Pub Date: 2017-03-01 Pages: $number Language: Chinese Publisher: Machinery Industry Publishing House Those years you didn't learn math: Mathematics for graduate students must know. It's a math primer for students preparing for graduate school. Those years you did not learn to understand mathematics: the study of graduate students must know Mathematics in popular .
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2021
ISBN 10: 9811238510 ISBN 13: 9789811238512
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the first time. Revised and updated, the book is aimed specifically at statistics and data science students who need a solid introduction to the basics of probability.While retaining its focus on basic probability, including Bayesian probability and the interface between probability and computer simulation, this edition's significant revisions are as follows:Many extra motivational examples and problemsNew material on Bayesian probability, including two famous court casesNew sections on real-world applications of the Poisson distributionNew sections on generating functions and the bivariate normal densityNew chapter on Markov chains, including Markov chain Monte Carlo simulationThe approach followed in the book is to develop probabilistic intuition before diving into details. The best way to learn probability is by practising on a lot of problems. Many instructive problems together with problem-solving strategies are given. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability. In 2008, he had received the prestigious INFORMS Expository Writing Award for his work. He is active in popularizing probability at Dutch high schools.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2021
ISBN 10: 9811237492 ISBN 13: 9789811237492
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the first time. Revised and updated, the book is aimed specifically at statistics and data science students who need a solid introduction to the basics of probability.While retaining its focus on basic probability, including Bayesian probability and the interface between probability and computer simulation, this edition's significant revisions are as follows:Many extra motivational examples and problemsNew material on Bayesian probability, including two famous court casesNew sections on real-world applications of the Poisson distributionNew sections on generating functions and the bivariate normal densityNew chapter on Markov chains, including Markov chain Monte Carlo simulationThe approach followed in the book is to develop probabilistic intuition before diving into details. The best way to learn probability is by practising on a lot of problems. Many instructive problems together with problem-solving strategies are given. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability. In 2008, he had received the prestigious INFORMS Expository Writing Award for his work. He is active in popularizing probability at Dutch high schools.