Fr. 139.20

Elementary Probability for Applications

English · Hardback

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Description

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Informationen zum Autor Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. After nine years at UCLA, he came to Cornell University in 1985, where he is a professor of mathematics. He is the author of 8 books and more than 170 journal articles on a wide variety of topics, and he has supervised more than 40 Ph.D. students. He is a member of the National Academy of Science, American Academy of Arts and Sciences, and a Fellow of the Institute of Mathematical Statistics. Klappentext Explains probability using genetics, sports, finance, current events and more. Zusammenfassung This is a perfect one-semester introduction to probability! for students who are familiar with basic calculus. The lively style reflects the author's philosophy that the best way to learn probability is to see it in action! and he gives over 200 examples from genetics! sports! finance! and current events. Inhaltsverzeichnis 1. Basic concepts; 2. Combinatorial probability; 3. Conditional probability; 4. Markov chains; 5. Continuous distributions; 6. Limit theorems; 7. Option pricing.

List of contents

1. Basic concepts; 2. Combinatorial probability; 3. Conditional probability; 4. Markov chains; 5. Continuous distributions; 6. Limit theorems; 7. Option pricing.

Report

'The book has a nice interplay between probability modeling and scientific applications, whether from biology, sports, or discussions of China's one-child policy. Many of the examples are thought provoking, including ones on DNA samples for paternity cases and others about the O. J. Simpson trial. As an instructor, I enjoy digging into these examples in class. And the large selection of interesting problems builds basic skills and deepens or extends the main ideas.' Professor Michael Phelan, University of California, Irvine

Product details

Authors Rick Durrett
Publisher Cambridge University Press Academic
 
Languages English
Product format Hardback
Released 16.10.2009
 
EAN 9780521867566
ISBN 978-0-521-86756-6
Dimensions 192 mm x 255 mm x 18 mm
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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