Now showing items 1-3 of 3

    • Estimation of missing values in air pollution data using single imputation techniques 

      Norazian, Mohamed Noor; Shukri, Yahaya Ahmad; Azam, Ramli Nor; Mohd. Mustafa Al Bakri, Abdullah (Science Society of Thailand, 2008)
      Air pollution data obtained using automated machines often contain missing values which can cause bias due to systematic differences between observed and unobserved data. We used interpolation and mean imputation techniques ...
    • Imputation methods for filling missing data in urban air pollution data for Malaysia 

      Nur Afiqah, Zakaria; Norazian, Mohamed Noor (NR&DI URBAN-INCERC, 2018)
      The air quality measurement data obtained from the continuous ambient air quality monitoring (CAAQM) station usually contained missing data. The missing observations of the data usually occurred due to machine failure, ...
    • Mean imputation techniques for filling the missing observations in air pollution dataset 

      Noorazian, Mohamed Noor; Ahmad Shukri, Yahaya, Prof. Madya; Nor Azam, Ramli, Prof. Dr.; Mohd Mustafa Al Bakri, Abdullah (Trans Tech Publications, 2014)
      Almost all real life datasets consist missing values. These are usually due to machine failure, routine maintenance, changes in siting monitors and human error. The occurence of missing values requires special attention ...