Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

离散时间马尔可夫链和泊松过程对空气污染建模与研究的应用

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原   价:
552.5
售   价:
442.00
优惠
平台大促 低至8折优惠
出  版 社
出版时间
2012年08月15日
装      帧
平装
ISBN
9781461446446
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页      码
117
语      种
英语
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库存 85 本
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图书简介
​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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