Estimation of missing values for air pollution data using Interpolation technique
Air pollution data such as PM10, sulphur dioxide, ozone and carbon monoxide are usually obtained using automated machines located at different sites. These are usually due to mechanical failure, routine maintenance, changes in siting monitors and human error. The occurrence of missing values requir...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Universiti Malaysia Perlis
2010
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Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/7459 |
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