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Applications of discrete-time markov chains and poisson processes to air pollution modeling and studies Eliane Regina Rodrigues, Jorge Alberto Achcar

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Rodrigues, Eliane Regina
Contributor:
Achcar, Jorge Alberto
Series:
SpringerBriefs in mathematics
SpringerBriefs in mathematics 2191-8198
Language:
English
Subjects (All):
Air--Pollution--Mathematical models.
Air.
Physical Description:
1 online resource
Place of Publication:
New York, NY Springer ©2013
Language Note:
English
System Details:
text file
PDF
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
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
Notes:
Includes bibliographical references and index
Other Format:
Printed edition:
ISBN:
9781461446453
1461446457
1461446449
9781461446446
1283624397
9781283624398
9786613936844
6613936847
OCLC:
809852941
Access Restriction:
Restricted for use by site license

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