TY - BOOK ID - 14306289 TI - Applications of discrete-time Markov chains and poisson processes to air pollution modeling and studies AU - Rodrigues, Regina Eliane. AU - Achcar, Jorge Alberto. PY - 2013 SN - 21918198 SN - 1461446449 9786613936844 1461446457 1283624397 PB - New York : Springer, DB - UniCat KW - Air -- Pollution -- Mathematical models. KW - Distribution (Probability theory). KW - Environmental protection. KW - Distribution (Probability theory) KW - Markov processes KW - Air KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematical Statistics KW - Mathematical models KW - Pollution KW - Markov processes. KW - Computer simulation. KW - Study and teaching. KW - Analysis, Markov KW - Chains, Markov KW - Markoff processes KW - Markov analysis KW - Markov chains KW - Markov models KW - Models, Markov KW - Processes, Markov KW - Mathematics. KW - Probabilities. KW - Air pollution. KW - Probability Theory and Stochastic Processes. KW - Environmental Monitoring/Analysis. KW - Atmospheric Protection/Air Quality Control/Air Pollution. KW - Atmosphere KW - Stochastic processes KW - Distribution (Probability theory. KW - Monitoring/Environmental Analysis. KW - Environmental quality management KW - Protection of environment KW - Environmental sciences KW - Applied ecology KW - Environmental engineering KW - Environmental policy KW - Environmental quality KW - Distribution functions KW - Frequency distribution KW - Characteristic functions KW - Probabilities KW - Environmental monitoring. KW - Air contaminants KW - Air pollutants KW - Air pollution KW - Air pollution control KW - Air toxics KW - Airborne pollutants KW - Contaminants, Air KW - Control of air pollution KW - Pollutants, Air KW - Toxics, Air KW - Air quality KW - Atmospheric deposition KW - Biomonitoring (Ecology) KW - Ecological monitoring KW - Monitoring, Environmental KW - Probability KW - Statistical inference KW - Combinations KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk KW - Control KW - Measurement KW - Monitoring UR - https://www.unicat.be/uniCat?func=search&query=sysid:14306289 AB - 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. ER -