Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
In this brief we consider some shastic 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 shastic models. The type of models that we are going to consider in this brief are the shastic ones.​
1136504821
Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
In this brief we consider some shastic 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 shastic models. The type of models that we are going to consider in this brief are the shastic ones.​
49.95 In Stock
Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

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

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

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

Paperback(2013)

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Overview

In this brief we consider some shastic 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 shastic models. The type of models that we are going to consider in this brief are the shastic ones.​

Product Details

ISBN-13: 9781461446446
Publisher: Springer New York
Publication date: 09/01/2012
Series: SpringerBriefs in Mathematics
Edition description: 2013
Pages: 107
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

Table of Contents

Introduction.- Discrete-time Markov chain models.- Poisson models and their application to ozone data.- Some counting processes and ozone air pollution.- Comments.- Acknowledgements.- References​.
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