Estimation of missing values for air pollution data using Interpolation technique

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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Bibliographic Details
Main Authors: Norazian, Mohamed Noor, Mohd Mustafa, Al Bakri Abdullah, Ahmad Shukri, Yahaya, Nor Azam, Ramli
Format: Article
Language:English
Published: Universiti Malaysia Perlis 2010
Subjects:
Air pollution
Interpolation
Performance indicators.
Missing values
Estimation theory
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7459
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Institution: Universiti Malaysia Perlis
Language: English

Internet

http://dspace.unimap.edu.my/xmlui/handle/123456789/7459

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