Estimation of missing values in air pollution dataset by using various imputation methods
The aim of this study is to determine the best imputation method to fill in the various gaps of missing values in air pollution dataset. Ten imputation methods such as Series Mean, Linear Interpolation, Mean Nearest Neighbour, Expectation Maximization, Markov Chain Monte Carlo, 12-hours Moving Avera...
| 发表在: | International Journal of Conservation Science |
|---|---|
| 主要作者: | |
| 格式: | 文件 |
| 语言: | English |
| 出版: |
Alexandru Ioan Cuza University of Iasi
2019
|
| 在线阅读: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087395821&partnerID=40&md5=a921f877d0da2d9d3c0a31ace6b34297 |