Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies / by Eliane Regina Rodrigues, Jorge Alberto Achcar
(SpringerBriefs in Mathematics)
| データ種別 | 電子ブック |
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| 出版情報 | New York, NY : Springer New York : Imprint: Springer , 2013 |
| 本文言語 | 英語 |
| 大きさ | X, 107 p. 12 illus : online resource |
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| 一般注記 | 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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| 著者標目 | *Rodrigues, Eliane Regina author Achcar, Jorge Alberto author SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics LCSH:Probabilities LCSH:Air pollution FREE:Mathematics FREE:Probability Theory and Stochastic Processes FREE:Environmental Monitoring/Analysis FREE:Atmospheric Protection/Air Quality Control/Air Pollution |
| 分 類 | DC23:519.2 |
| 巻冊次 | ISBN:9781461446453 
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| ISBN | 9781461446453 |
| URL | http://dx.doi.org/10.1007/978-1-4614-4645-3 |
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