| Description |
1 online resource |
| Series |
SpringerBriefs in mathematics, 2191-8198 |
|
SpringerBriefs in mathematics.
|
| Contents |
Markov Chain Models -- Poisson Models and Their Application to Ozone Data -- Modeling the Time Between Ozone Exceedances -- Some Counting Processes and Ozone Air Pollution -- Comments |
| Summary |
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 obta |
| Analysis |
Mathematics |
|
Distribution (Probability theory) |
|
Environmental protection |
|
Probability Theory and Stochastic Processes |
|
Environmental Monitoring/Analysis |
|
Atmospheric Protection/Air Quality Control/Air Pollution |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
| Subject |
Air -- Pollution -- Mathematical models
|
|
SCIENCE -- Global Warming & Climate Change.
|
|
Aire -- Modelos matemáticos
|
|
Contaminación -- Modelos matemáticos
|
|
Air -- Pollution -- Mathematical models
|
| Form |
Electronic book
|
| Author |
Achcar, Jorge Alberto
|
| ISBN |
9781461446453 |
|
1461446457 |
|
1461446449 |
|
9781461446446 |
|
