Applied Stochastic Modeling / Synthesis Lectures on Mathematics & Statistics (PDF)
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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.
Viswanathan Arunachalam, Ph.D., is an Associate Professor in the Department of Statistics at Universidad Nacional de Colombia, Bogotá. He earned his Ph.D. in Mathematics from the Indian Institute of Technology Madras in 1997. He also had positions at Universidad de los Andes, Bogotá, and visiting positions at Arizona State University. His research interests include stochastic processes and its applications in biology, reliability and queuing theory, and statistics of financial markets.
- Autoren: Liliana Blanco-Castañeda , Viswanathan Arunachalam
- 2023, 1st ed. 2023, 151 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031312821
- ISBN-13: 9783031312823
- Erscheinungsdatum: 18.06.2023
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- Größe: 1.65 MB
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