Overview
- Focused volume on some stochastic models used to study problems related to environmental matters.
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
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Table of contents (6 chapters)
Keywords
About this book
Reviews
From the reviews:
“The book is dedicated to the study of air pollution in cities via stochastic modeling. … The book provides interesting approaches to the problem of air pollution in cities and it could be useful to scientists interested in this area.” (Iulian Stoleriu, Mathematical Reviews, May, 2013)Authors and Affiliations
Bibliographic Information
Book Title: Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
Authors: Eliane Regina Rodrigues, Jorge Alberto Achcar
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-1-4614-4645-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Eliane Regina Rodrigues 2013
Softcover ISBN: 978-1-4614-4644-6Published: 01 September 2012
eBook ISBN: 978-1-4614-4645-3Published: 02 September 2012
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: X, 107
Number of Illustrations: 12 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Monitoring/Environmental Analysis, Atmospheric Protection/Air Quality Control/Air Pollution