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 ...
    • Malaysian Foxtail grass - A potential source of natural/agro fibre for polymer composite panel 

      Che Mohd Ruzaidi, Ghazali, Prof. Madya; Mohd Mustafa Al Bakri, Abdullah; Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr.; Norazian, Mohamed Noor; Rafiza, Abdul Razak; Zarina, Yahya (Trans Tech Publications, 2013)
      Foxtail grass, also known as 'rumput bulu' by the local people, is one of the fast growing grasses abundantly available all over Malaysia. A full grown Foxtail grass attains a height of about 0.5 - 1.5 meters. The fibres ...
    • 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 ...