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 ...
    • 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 ...
    • Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam 

      Norazian, Mohamed Noor; Mohd Mustafa, Al Bakri Abdullah; Tan, Cheng Yau; Nor Azam, Ramli; Ahmad Shukri, Yahaya; Noor Faizah Fitri, Md. Yusof (Elsevier BV, 2011)
      In Malaysia, the predominant air pollutants are suspended particulate matter (SPM) and nitrogen dioxide (NO 2). This research is on PM 10 as they may trigger harm to human health as well as environment. Six distributions, ...