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Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics)

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Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics). To get started finding Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics), you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 116

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: 2014

ISBN: 1461446457

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics). To get started finding Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics)

Applications of Discrete-Time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (Springerbriefs in Mathematics)

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