Probability Models

• Main Author: Haigh, John. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Edition: 2nd ed. 2013.
• Series: Springer Undergraduate Mathematics Series,
• Subjects: Mathematics.; Computer science.; Computer simulation.; Distribution (Probability theory).; Operations research.; Probability Theory and Stochastic Processes.; Simulation and Modeling.; Probability and Statistics in Computer Science.; Operation Research/Decision Theory.; Mathematical Applications in Computer Science.; Mathematical Applications in the Physical Sciences.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5343-6

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 tha...

Table of 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.