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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies - Couverture souple
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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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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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Springer New York, 2012
ISBN 10 : 1461446449
ISBN 13 : 9781461446446
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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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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
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Springer New York Sep 2012, 2012
ISBN 10 : 1461446449
ISBN 13 : 9781461446446
Neuf
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781461446446
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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 (SpringerBriefs in Mathematics)
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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 US, 2012
ISBN 10 : 1461446449
ISBN 13 : 9781461446446
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781461446446
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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies
Edité par
Springer New York, Springer US Sep 2012, 2012
ISBN 10 : 1461446449
ISBN 13 : 9781461446446
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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. N° de réf. du vendeur 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-Verlag New York Inc., 2012
ISBN 10 : 1461446449
ISBN 13 : 9781461446446
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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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