Statistics for solving environmental problems
Mathematical models are now widely used in almost all scientific and engineering disciplines, including various important environmental applications, often describing dynamical systems. Focus on specific aspects typically reduces a complex system into a simpler one described by stochastic or determi...
Main Authors: | , , |
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Format: | Proceeding Paper |
Language: | English |
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2013
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Online Access: | http://irep.iium.edu.my/34876/1/ICNOOR_2013.pdf |
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author | Elfaki, Faiz Ahmed Mohamed Hadi, Agung Efriyo Usman, Mustofa |
author_facet | Elfaki, Faiz Ahmed Mohamed Hadi, Agung Efriyo Usman, Mustofa |
author_sort | Elfaki, Faiz Ahmed Mohamed |
collection | IIUM |
description | Mathematical models are now widely used in almost all scientific and engineering disciplines, including various important environmental applications, often describing dynamical systems. Focus on specific aspects typically reduces a complex system into a simpler one described by stochastic or deterministic variables, in a trade-off between simplicity and accuracy. Successful models of complex systems adequately represent key components and relevant interactions. Of models with roughly equal predictive power, the simplest one is the most desirable. |
first_indexed | 2024-03-05T23:23:11Z |
format | Proceeding Paper |
id | oai:generic.eprints.org:34876 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-05T23:23:11Z |
publishDate | 2013 |
record_format | dspace |
spelling | oai:generic.eprints.org:348762014-01-29T02:18:38Z http://irep.iium.edu.my/34876/ Statistics for solving environmental problems Elfaki, Faiz Ahmed Mohamed Hadi, Agung Efriyo Usman, Mustofa QA Mathematics Mathematical models are now widely used in almost all scientific and engineering disciplines, including various important environmental applications, often describing dynamical systems. Focus on specific aspects typically reduces a complex system into a simpler one described by stochastic or deterministic variables, in a trade-off between simplicity and accuracy. Successful models of complex systems adequately represent key components and relevant interactions. Of models with roughly equal predictive power, the simplest one is the most desirable. 2013 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/34876/1/ICNOOR_2013.pdf Elfaki, Faiz Ahmed Mohamed and Hadi, Agung Efriyo and Usman, Mustofa (2013) Statistics for solving environmental problems. In: 5th International Conference on Numerical Optimization and Operations Research (ICNOOR 5) , 26-28 June 2013, Bandar Aceh, Indonesia. (Unpublished) |
spellingShingle | QA Mathematics Elfaki, Faiz Ahmed Mohamed Hadi, Agung Efriyo Usman, Mustofa Statistics for solving environmental problems |
title | Statistics for solving environmental problems |
title_full | Statistics for solving environmental problems |
title_fullStr | Statistics for solving environmental problems |
title_full_unstemmed | Statistics for solving environmental problems |
title_short | Statistics for solving environmental problems |
title_sort | statistics for solving environmental problems |
topic | QA Mathematics |
url | http://irep.iium.edu.my/34876/1/ICNOOR_2013.pdf |
work_keys_str_mv | AT elfakifaizahmedmohamed statisticsforsolvingenvironmentalproblems AT hadiagungefriyo statisticsforsolvingenvironmentalproblems AT usmanmustofa statisticsforsolvingenvironmentalproblems |