Application of imputation methods for missing values of PM10 and O3 data: Interpolation, moving average and K-nearest neighbor methods
Background: PIn air quality studies, it is very often to have missing data due to reasons such as machine failure or human error. The approach used in dealing with such missing data can affect the results of the analysis. The main aim of this study was to review the types of missing mechanism, imp...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Kerman University of Medical Sciences
2021-09-01
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Series: | Environmental Health Engineering and Management |
Subjects: | |
Online Access: | http://ehemj.com/article-1-815-en.pdf |