TY  - BOOK
AU  - Haigh,John
ED  - SpringerLink (Online service)
TI  - Probability Models
T2  - Springer Undergraduate Mathematics Series,
SN  - 9781447153436
AV  - QA273.A1-274.9 
U1  - 519.2 23
PY  - 2013///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Mathematics
KW  - Operations research
KW  - Decision making
KW  - Mathematical statistics
KW  - Computer simulation
KW  - Computer science
KW  - Computer mathematics
KW  - Mathematical physics
KW  - Probabilities
KW  - Probability Theory and Stochastic Processes
KW  - Simulation and Modeling
KW  - Probability and Statistics in Computer Science
KW  - Operation Research/Decision Theory
KW  - Mathematical Applications in Computer Science
KW  - Mathematical Applications in the Physical Sciences
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4471-5343-6
ER  -