Handling complex missing data using random forest approach for an air quality monitoring dataset: a case study of Kuwait environmental data (2012 to 2018)
In environmental research, missing data are often a challenge for statistical modeling. This
paper addressed some advanced techniques to deal with missing values in a data set …
paper addressed some advanced techniques to deal with missing values in a data set …
Roles of imputation methods for filling the missing values: A review
MNN Ramli, AS Yahaya, NA Ramli… - Advances in …, 2013 - go.gale.com
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 …
indicator method can lead to serious bias. One of the comforting methods is implementation …
A complete daily precipitation database for northeast Spain: reconstruction, quality control, and homogeneity
This paper reports the procedure used in creating a homogeneous database of daily
precipitation in northeast Spain. The source database comprised 3106 daily precipitation …
precipitation in northeast Spain. The source database comprised 3106 daily precipitation …
[HTML][HTML] Trends in twentieth-century temperature extremes across the United States
Trends in Twentieth-Century Temperature Extremes across the United States in: Journal of
Climate Volume 15 Issue 22 (2002) Jump to Content Jump to Main Navigation Logo Logo Logo …
Climate Volume 15 Issue 22 (2002) Jump to Content Jump to Main Navigation Logo Logo Logo …
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 …
as machine failure or human error. The approach used in dealing with such missing data …
Multiple imputation of rainfall missing data in the Iberian Mediterranean context
Given the increasing need for complete rainfall data networks, in recent years have been
proposed diverse methods for filling gaps in observed precipitation series, progressively …
proposed diverse methods for filling gaps in observed precipitation series, progressively …
Restoring method for missing data of spatial structural stress monitoring based on correlation
Z Zhang, Y Luo - Mechanical Systems and Signal Processing, 2017 - Elsevier
Long-term monitoring of spatial structures is of great importance for the full understanding of
their performance and safety. The missing part of the monitoring data link will affect the data …
their performance and safety. The missing part of the monitoring data link will affect the data …
The climate-driven disaster of the Marmolada Glacier (Italy)
A Bondesan, RG Francese - Geomorphology, 2023 - Elsevier
Abstract On July 3, 2022, at 13: 43: 20 CEST (11: 43: 20 UTC), a mass of about 64,000 t of
water, ice, and rock debris broke off from the Marmolada Glacier in the Dolomites …
water, ice, and rock debris broke off from the Marmolada Glacier in the Dolomites …
Gap filling and homogenization of climatological datasets in the headwater region of the Upper Blue Nile Basin, Ethiopia
Long‐term time series of climatological data measured at meteorological stations provide
one of the most authentic annals of climate in the past. However, there are a host of factors …
one of the most authentic annals of climate in the past. However, there are a host of factors …
Spatio-temporal analysis of climatic variables in the western part of Bangladesh
Monitoring and detecting trends of climatic variables like rainfall and temperature are
essential for agricultural developments in the context of climate change. The present study …
essential for agricultural developments in the context of climate change. The present study …