This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models in applications such as Markov chains with discrete-time parameters, hidden Markov chains, Poisson processes, and birth and death processes. This book also presents specific examples with simulation methods that apply the topics to different areas of knowledge. These examples include practical applications, such as modeling the COVID-19 pandemic and animal movement modeling. This book is concise and rigorous, presenting the material in an easily accessible manner that allows readers to learn how to address and solve problems of a stochastic nature.
| ISBN: | 9783031312816 |
| Publication date: | 19th June 2023 |
| Author: | Liliana BlancoCastañeda, Viswanathan Arunachalam |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 146 pages |
| Series: | Synthesis Lectures on Mathematics & Statistics |
| Genres: |
Probability and statistics Applied mathematics Mathematical and statistical software Calculus and mathematical analysis Mathematics |
This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models in applications such as Markov chains with discrete-time parameters, hidden Markov chains, Poisson processes, and birth and death processes. This book also presents specific examples with simulation methods that apply the topics to different areas of knowledge.
Applied Stochastic Modeling features in the following genres: Probability and statistics, Applied mathematics, Mathematical and statistical software, Calculus and mathematical analysis, Mathematics
Hardback. £31.49, down from the £34.99 cover price. Not Available.
Applied Stochastic Modeling was written by Liliana BlancoCastañeda, Viswanathan Arunachalam and published by Springer an imprint of Springer Nature Switzerland
Applied Stochastic Modeling has 146 pages
Yes it is part of Synthesis Lectures on Mathematics & Statistics series
£31.49, reduced from £34.99. Not Available.