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Understanding Probability - Henk Tijms

Understanding Probability

Chance Rules in Everyday Life

(Autor)

Buch | Hardcover
390 Seiten
2004
Cambridge University Press (Verlag)
978-0-521-83329-5 (ISBN)
CHF 73,30 inkl. MwSt
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Using lots of examples from lotteries and casino games, the author demystifies much of probability theory, including betting systems and the central limit theorem. This book is ideal for anyone who is not put off by some high-school algebra, and for all students taking a first course in probability.
Like it or not, chance plays a big part in our lives. Every day we face situations where the result is uncertain, and, perhaps without realizing it, we guess about the likelihood of one outcome or another. Fortunately, mastering the concepts of probability can cast new light on situations where randomness and chance appear to rule. In this book, which uses lotteries and casino games to provide the many illustrative examples, the reader can learn about the world of probability. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. Written with wit and clarity, this book can be read easily by anyone who is not put off by a few numbers and some high-school algebra. It is also ideally suited to students of all disciplines taking their first course in probability.

Henk Tijms is Professor in Operations Research at the Vrije University in Amsterdam. The author of several textbooks including, A First Course in Stochastic Models, he is intensively active in the popularization of applied mathematics and probability in Dutch high schools. He has also written numerous papers on applied probability and stochastic optimization for international journals including Applied Probability and Probability in the Engineering and Informational Sciences.

Part I. Probability in Action: 1. Probability questions; 2. The law of large numbers and simulation; 3. Probabilities in everyday life; 4. Rare events and lotteries; 5. Probability and statistics; 6. Chance trees and Bayes' rule; Part II: 7. Foundations of probability theory; 8. Conditional probability and Bayes; 9. Basic rules for discrete random variables; 10. Continuous random variables; 11. Jointly distributed random variables; 12. Multivariate normal distribution; 13. Conditional distributions; 14. Generating functions.

Erscheint lt. Verlag 23.8.2004
Zusatzinfo Worked examples or Exercises; 22 Tables, unspecified; 41 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 157 x 237 mm
Gewicht 637 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-521-83329-9 / 0521833299
ISBN-13 978-0-521-83329-5 / 9780521833295
Zustand Neuware
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