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SpringerBriefs in Mathematics

Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

Authors: Rodrigues, Eliane Regina, Achcar, Jorge Alberto

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  • Focused volume on some stochastic models used to study problems related to environmental matters.   

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  • ISBN 978-1-4614-4645-3
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About this book

​In this brief we consider some stochastic models that may be used to study problems related to environmental matters, in particular, air pollution.  The impact of exposure to air pollutants on people's health is a very clear and well documented subject. Therefore, it is very important to obtain ways to predict or explain the behaviour of pollutants in general. Depending on the type of question that one is interested in answering, there are several of ways studying that problem. Among them we may quote, analysis of the time series of the pollutants' measurements, analysis of the information obtained directly from the data, for instance, daily, weekly or monthly averages and standard deviations. Another way to study the behaviour of pollutants in general is through mathematical models. In the mathematical framework we may have for instance deterministic or stochastic models. The type of models that we are going to consider in this brief are the stochastic ones.​

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)

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $34.99
price for USA in USD (gross)
  • ISBN 978-1-4614-4645-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA in USD
  • ISBN 978-1-4614-4644-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
Authors
Series Title
SpringerBriefs in Mathematics
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Eliane Regina Rodrigues
eBook ISBN
978-1-4614-4645-3
DOI
10.1007/978-1-4614-4645-3
Softcover ISBN
978-1-4614-4644-6
Series ISSN
2191-8198
Edition Number
1
Number of Pages
X, 107
Number of Illustrations
12 b/w illustrations
Topics

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