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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies - Brossura
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?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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“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)Contenuti
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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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Taschenbuch. Condizione: 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. Codice articolo 9781461446446
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Springer New York, Springer Sep 2012, 2012
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ISBN 13: 9781461446446
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿In this brief we consider some stochastic models that may be used to study problems related toenvironmental matters, in particular, air pollution. The impact of exposure toair pollutants on people's health is a very clear and well documented subject. Therefore, it is veryimportant to obtain ways to predict or explain the behaviour of pollutants in general. Dependingon the type of question that one is interested in answering, there are several of ways studying thatproblem. 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 monthlyaverages and standard deviations. Another way to study the behaviour of pollutants in general isthrough 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 thestochastic ones.¿Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch. Codice articolo 9781461446446
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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ISBN 13: 9781461446446
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Taschenbuch. Condizione: 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. Codice articolo 9781461446446
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