Authors:
- Covers probability and statistics in equal depth and will fit perfectly into applied math, EE, and CS undergraduate curricula
- Specifically geared toward a one semester course
- Enriched by a wealth of historical notes, real-life exercises and solutions test-driven in the author's class
- Request lecturer material: sn.pub/lecturer-material
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"This textbook is appropriate for an undergraduate level course on probability theory and introductory statistics for an engineering department. The book can be recommended as a one- or two-semester undergraduate course book and also as a supplementary textbook for different advanced statistical courses. … The sections at the end of chapters contain exercises, problems and multiple choice questions. The style and contents of the book are well organized and make it easy to read." (Fazil A. Aliev, Mathematical Reviews, Issue 2007 b)
Authors and Affiliations
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Département de mathématiques et de génie industriel, École Polytechnique de Montréal, Québec, Montréal, Canada
Mario Lefebvre
Bibliographic Information
Book Title: Applied Probability and Statistics
Authors: Mario Lefebvre
DOI: https://doi.org/10.1007/0-387-28505-9
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2006
Hardcover ISBN: 978-0-387-28454-5
Softcover ISBN: 978-1-4419-2106-2
eBook ISBN: 978-0-387-28505-4
Edition Number: 1
Number of Pages: XVIII, 358
Topics: Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability and Statistics in Computer Science