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Probability models John Haigh

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Haigh, John, 1955-
Series:
Springer undergraduate mathematics series
Language:
English
Subjects (All):
Probabilities.
Probability.
probability.
Medical Subjects:
Probability.
Physical Description:
1 online resource
Edition:
2nd ed.
Place of Publication:
London New York Springer ©2013
Language Note:
English
System Details:
text file
PDF
Summary:
The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded. Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument. Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics
Contents:
Probability Spaces
Conditional Probability and Independence
Common Probability Distributions
Random Variables
Sums of Random Variables
Convergence and Limit Theorems
Stochastic Processes in Discrete Time
Stochastic Processes in Continuous Time
Appendix: Common Distributions and Mathematical Facts
Notes:
Includes bibliographical references and index
Online resource; title from PDF title page (SpringerLink, viewed July 11, 2013)
Other Format:
Printed edition:
ISBN:
9781447153436
144715343X
1447153421
9781447153429
OCLC:
852502827
Access Restriction:
Restricted for use by site license

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