Overview
- Presents elementary probability theory with interesting and well-chosen applications that illustrate the theory
- Main results in elementary probability, random variables, random vectors and the central limit theorem are covered
- Applications in reliability theory, basic queuing models, and time series are presented
- Over 400 exercises reinforce the material and provide students with ample practice
- Introductory chapter reviews the basic elements of differential calculus which are used in the material to follow
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
Part of the book series: Springer Undergraduate Texts in Mathematics and Technology (SUMAT)
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Table of contents(7 chapters)
About this book
Authors and Affiliations
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Dépt. Mathématiques et de, Ecole Polytechnique de Montréal, Montreal, Canada
Mario Lefebvre
About the author
Bibliographic Information
Book Title: Basic Probability Theory with Applications
Authors: Mario Lefebvre
Series Title: Springer Undergraduate Texts in Mathematics and Technology
DOI: https://doi.org/10.1007/978-0-387-74995-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-74994-5Published: 17 August 2009
Softcover ISBN: 978-1-4614-2923-4Published: 07 March 2012
eBook ISBN: 978-0-387-74995-2Published: 03 October 2009
Series ISSN: 1867-5506
Series E-ISSN: 1867-5514
Edition Number: 1
Number of Pages: XVI, 340
Number of Illustrations: 50 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Mathematical and Computational Engineering, Probability and Statistics in Computer Science, Economic Theory/Quantitative Economics/Mathematical Methods