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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies (SpringerBriefs in Mathematics) - Softcover
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...
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“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)"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2012
- ISBN 10 1461446449
- ISBN 13 9781461446446
- BindingPaperback
- LanguageEnglish
- Number of pages117
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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ISBN 10: 1461446449
ISBN 13: 9781461446446
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Seller Inventory # 9781461446446
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781461446446
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