Overview
- Takes a new approach - considers probabilistic problems and sets them up in a consistent logical framework to reach convincing answers
- Includes a wealth of exercises, all with solutions
- Includes a range of problems, drawn from everyday experience and ranging from the routine to the more challenging
Part of the book series: Springer Undergraduate Mathematics Series (SUMS)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Reviews
From the reviews:
MATHEMATICAL REVIEWS
"…gives a concise non-measure theoretic introduction to the basics of probability theory and stochastic processes. The overall level is that of a first university course on the subject, given that the students have had introductory courses on linear algebra and real analysis. Numerous examples make the text fairly light reading…the mathematically less trained reader will find the language (and terminology) used pleasant: no unnecessary pedantic notation is wasted. The more mathematically inclined reader will learn form both the examples and pedagogic line of approach. In summary, I find [this book] a useful text to have on my shelves and would consider using it as a textbook for science and engineering students. Mathematics students would benefit from it as a first contact with the world of randomness before delving deeper using a measure theoretic approach."
ISI SHORT BOOK REVIEWS
"What makes this book so interesting is the fact that, in only two hundred and fifty pages, the reader is brought from the very beginning to a fairly high level in the knowledge of probability theory. ... There is a wealth of about two hundred exercisis, with solutions, which makes the book useful for teaching."
ISI Short Book Reviews, Vol. 22/3, December 2002
"‘The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation’. … this one is a nice choice, written in a broad and lively style." (P. Schmitt, Monatshefte für Mathematik, Vol. 143 (1), 2004)
"A clear treatment of probability theory … it has a great deal to recommend it. … there is a real attempt to provide a readable account of the material without getting too bogged down in analytical detail and … without ignoring the issues or resorting to over-simplification. … It is good to have such specialized material in what is essentially a text forundergraduates, and I can recommend this stimulating book to anybody who is looking for a way to spice up their knowledge." (Gerry Leversha, The Mathematical Gazette, Vol. 88 (512), 2004)
"What makes this book so interesting is the fact that, in only two hundred and fifty pages, the reader is brought from the very beginning to a fairly high level in the knowledge of probability theory. … The author deals in an elegant way with important theorems such as the central limit theorem and the laws of large numbers. … There is a wealth of about two hundred exercises, with solutions, which makes the book useful for teaching." (N.D.C. Veraverbeke, Short Book Reviews, Vol. 22 (3), 2002)
Authors and Affiliations
Bibliographic Information
Book Title: Probability Models
Authors: John Haigh
Series Title: Springer Undergraduate Mathematics Series
DOI: https://doi.org/10.1007/978-1-4471-0169-7
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2002
eBook ISBN: 978-1-4471-0169-7Published: 06 December 2012
Series ISSN: 1615-2085
Series E-ISSN: 2197-4144
Edition Number: 1
Number of Pages: VIII, 256