Now showing items 1-3 of 3

    • Filling missing data using interpolation methods: Study on the effect of fitting distribution 

      Norazian, Mohamed Noor; Ahmad Shukri, Yahaya, Prof. Madya; Nor Azam, Ramli, Prof. Dr.; Mohd Mustafa Al Bakri, Abdullah (Trans Tech Publications, 2014)
      The presence of missing values in statistical survey data is an important issue to deal with. These data usually contained missing values due to many factors such as machine failures, changes in the siting monitors, routine ...
    • 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 ...
    • Roles of imputation methods for filling the missing values: A review 

      Norazian, Mohamed Noor; Ahmad Shukri, Yahaya, Prof. Madya; Nor Azam, Ramli, Prof. Dr.; Noor Faizah Fitri, Md. Yusof, Dr.; Mohd Mustafa Al Bakri, Abdullah (AENSI Publisher All rights reserved, 2013-10)
      Missing data are often encountered in many areas of research. Complete case analysis and indicator method can lead to serious bias. One of the comforting methods is implementation of imputation methods. The main purpose ...