Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and their Applications (v. 2)

Book Description:

Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasizing models rather than general constructions. Basic mathematical facts are supplied as and when they are needed and historical information is sprinkled throughout.
Book Description
Following on from the success of Volume 1 of Probability and Statistics by Example, the authors here concentrate on random processes. The highly accessible text reflects modern trends in the subject and contains nearly 200 exercises with complete solutions, making it an essential text for students of probability and statistics.