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Zusatztext If you own the first edition! you will be very pleased with the second edition. It is more complete! better organized! and even more well-presented. If you don't own the first edition! and are looking for an effective tool for conveying probabilistic concepts! Hastings' book should certainly be one you consider.-Jane L. Harvill! The American Statistician! November 2011Introduction to Probability with Mathematica adds computational exercises to the traditional undergraduate probability curriculum without cutting out theory. ? a good textbook for a class with a strong emphasis on hands-on experience with probability. ? One interesting feature of the book is that each set of exercises includes a few problems taken from actuarial exams. No doubt this will comfort students who are taking a probability course in hopes that it will prepare them for an actuarial exam. Another interesting feature is the discussion of the Central Limit Theorem. The book goes into an interesting discussion of the history of the theorem ? .-MAA Reviews! December 2009 Informationen zum Autor Kevin J. Hastings is a professor of mathematics at Knox College in Galesburg, Illinois. Klappentext Shows you how to create simulations from templates and solve problems using Mathematica. Along with sections on order statistics! transformations of multivariate normal random variables! and Brownian motion! this title offers a section on Markov chains! example data of the normal distribution! focusing on conditional expectation. Zusammenfassung Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Inhaltsverzeichnis Discrete Probability. Discrete Distributions. Continuous Probability. Continuous Distributions. Asymptotic Theory. Stochastic Processes and Applications. Appendix. References. Index. ...
