| 期刊全称 | Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Stud | | 影响因子2023 | Eliane Regina Rodrigues,Jorge Alberto Achcar | | 视频video | | | 发行地址 | Focused volume on some stochastic models used to study problems related to environmental matters..Includes supplementary material: | | 学科分类 | SpringerBriefs in Mathematics | | 图书封面 |  | | 影响因子 | 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. | | Pindex | Book 2013 |
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发表于 2025-3-21 17:24:47
