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

Livre 12 sur 155: SpringerBriefs in Mathematics

Rodrigues, Eliane Regina Regina; Achcar, Jorge Alberto

 
9781461446446: Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

Synopsis

​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.​

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Présentation de l'éditeur

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.

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Autres éditions populaires du même titre

9781461446460: Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

Edition présentée

ISBN 10 :  1461446465 ISBN 13 :  9781461446460
Editeur : Springer, 2012
Couverture souple