The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique
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Kolej Universiti Kejuruteraan Utara Malaysia
2008
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my.unimap-22002009-04-16T03:25:48Z The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique Norazian, Mohamed Noor Ahmad Shukri, Yahaya Nor Azam, Ramli Mohd Mustafa, Al Bakri Abdullah Missing values Missing observations (Statistics) Mathematical statistics Electronic instruments Multiple imputation (Statistics) Estimation theory Link to publisher's homepage at http://www.unimap.edu.my/ Air pollutants data such as PM10 carbon monoxide, sulphur dioxide and ozone concentration were obtained from automated monitoring stations. These data usually contain missing values that can cause bias due to systematic differents between observed and unobserved data. Therefore, it is impirtant to find the best way to estimate these missing values to ensure that the data analyzed are of high precision. This paper focuses on the usage of mean top bottom imputation technique to replace the missing values. Three performance indicators were calculated in order to describe the goodness of fit of this technique. In order to test the efficiency of the method applied, PM10 monitoring dataset for Kuala Lumpur was used as case study. Three distributions that are Weibull, gamma and lognormal were fitted to the datasets after replacement of missing values using mean top bottom method and performance indicators were calculated to describe the qualities of the distributions. The results show that mean top bottom method gives very good performances at low percentage of missing data but the performances slightly decreased at higher degree of complexity. It was found that gamma distribution is the most appropriate distribution representing PM10 emissions in Kuala Lumpur. 2008-09-15T02:33:23Z 2008-09-15T02:33:23Z 2006 Article Journal of Engineering Research and Education, vol. 3, 2006, pages 96-105. 1823-2981 http://hdl.handle.net/123456789/2200 http://www.unimap.edu.my/ en Kolej Universiti Kejuruteraan Utara Malaysia |
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English |
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Missing values Missing observations (Statistics) Mathematical statistics Electronic instruments Multiple imputation (Statistics) Estimation theory |
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Missing values Missing observations (Statistics) Mathematical statistics Electronic instruments Multiple imputation (Statistics) Estimation theory Norazian, Mohamed Noor Ahmad Shukri, Yahaya Nor Azam, Ramli Mohd Mustafa, Al Bakri Abdullah The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| description |
Link to publisher's homepage at http://www.unimap.edu.my/ |
| format |
Article |
| author |
Norazian, Mohamed Noor Ahmad Shukri, Yahaya Nor Azam, Ramli Mohd Mustafa, Al Bakri Abdullah |
| author_facet |
Norazian, Mohamed Noor Ahmad Shukri, Yahaya Nor Azam, Ramli Mohd Mustafa, Al Bakri Abdullah |
| author_sort |
Norazian, Mohamed Noor |
| title |
The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| title_short |
The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| title_full |
The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| title_fullStr |
The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| title_full_unstemmed |
The Replacement of Missing Values of Continous Air Pollution Monitoring Data using Mean Top Bottom Imputation technique |
| title_sort |
replacement of missing values of continous air pollution monitoring data using mean top bottom imputation technique |
| publisher |
Kolej Universiti Kejuruteraan Utara Malaysia |
| publishDate |
2008 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/2200 |
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1643787525808979968 |
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13.222552 |