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Statistical Modeling of Extreme Values with Applications to Air Pollution
Faculty
Science
Year:
2012
Type of Publication:
Article
Pages:
124-132
Authors:
Barakat, H. M, Nigm, E. M, Khaled, O. M
Journal:
LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION MARSLAND PRESS
Volume:
9
Research Area:
Life Sciences \& Biomedicine - Other Topics
ISSN
ISI:000306398400019
Keywords :
Air pollution, Generalized extreme value model, Generalized Pareto distribution, Kolmogorov-Smirnov test, Bootstrap technique
Abstract:
In this paper the Block Maxima and the Peak Over Threshold methods are used to model the air pollution in two cities in Egypt. A simulation technique is suggested to choose a suitable threshold value. The validity of full bootstrapping technique for improving the estimation parameters in extreme value models has been checked by Kolmogorov-Smirnov test. A new efficiency approach for modeling extreme values is suggested. This approach can convert any ordered data to enlarged block data by using sup-sample bootstrap. Although, this study is applied on three pollutants in two cities in Egypt, but the suggested approaches may be applied on other pollutants in other regions in any country. {[}H. M. Barakat, E. M. Nigm and O. M. Khaled Statistical Modeling of Extreme Values with Applications to Air Pollution] Life Science Journal, 2012; 9(1): 124-132] (ISSN: 1097-8135). http://www.lifesciencesite.com.
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