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Filling missing data using interpolation methods: Study on the effect of fitting distribution
(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 ...
Roles of imputation methods for filling the missing values: A review
(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 ...
Mean imputation techniques for filling the missing observations in air pollution dataset
(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 ...