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Field name	Details
Dewey Class	519.2
Title	Probability Models (EB) / by John Haigh.
Author	Haigh, John
Other name(s)	SpringerLink (Online service)
Edition statement	2nd ed. 2013.
Publication	London : Springer London
Publication	, 2013.
Physical Details	XII, 287 pages: 17 illus. : online resource.
Series	Springer undergraduate mathematics series 1615-2085
ISBN	9781447153436
Summary Note	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 note	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.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)..
Internet Site	http://dx.doi.org/10.1007/978-1-4471-5343-6
Links to Related Works	Subject References: Computer simulation . Distribution (Probability theory) . Mathematical Applications in Computer Science . Mathematical Applications in the Physical Sciences . Mathematics . Operation Research/Decision Theory . Operations research . Probability and Statistics in Computer Science . Probability theory and stochastic processes . Simulation and Modeling . Authors: Haigh, John . Corporate Authors: SpringerLink (Online service) . Series: Springer undergraduate mathematics series . Classification: 519.2 .

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Probability Models

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