Markov Chains and Dependability Theory
โ Scribed by Rubino G., Sericola B.
- Publisher
- CUP
- Year
- 2014
- Tongue
- English
- Leaves
- 288
- Edition
- draft
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p>Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of us
From observation to simulation -- Building the stochastic matrix -- Predictions by using 2-state Markov chains -- Predictions by using N-state Markov chains -- Absorbing Markov chains -- The average time spent in each state -- Discussions on different configurations of chains -- The simulation of an
Non-Homogeneous Markov Chains and Systems: Theory and Applications fulfills two principal goals. It is devoted to the study of non-homogeneous Markov chains in the first part, and to the evolution of the theory and applications of non-homogeneous Markov systems (populations) in the second. The book