Browsing by Subject "Missing data"

Now showing items 1-3 of 3

    • A comparative study of missing value estimation methods: which method performs better? 

      Eng Aik, Lim; Zarita, Zainuddin (Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
      Missing data is a problem that permeates much of the research bring done today. Some data frequently contain missing values such as gene expression data, which most of its down stream analyses for microarray experiments ...

    • 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, ...

    • Single interpolation: A review of application in air quality data sets 

      Mohd Lutfi, Zainudin; Norazian, Mohamed Noor (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      The Single imputation methods have been wide-used techniques among researchers in the field of missing data in environmental data sets. Usually, ignorable the missing data and discard those incomplete cases in data sets ...