Improved methods for the imputation of missing data by nearest neighbor methods

DOI10.1016/j.csda.2015.04.009zbMath1468.62198OpenAlexW2005149470MaRDI QIDQ1663207

Gerhard Tutz, Shahla Ramzan

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.04.009

zbMATH Keywords

cross-validationkernel functionMCARweighted imputationweighted nearest neighbors

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Missing data (62D10)

Related Items

A simulation comparison of imputation methods for quantitative data in the presence of multiple data patterns, Missing value imputation for gene expression data by tailored nearest neighbors, Bootstrap inference for weighted nearest neighbors imputation

Uses Software

• R
• VIM
• samr
• Imputation
• impute

Cites Work

• Imputation of missing values for compositional data using classical and robust methods
• Nearest neighbour approach in the least-squares data imputation algorithms
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Prediction of Missing Values in Microarray and Use of Mixed Models to Evaluate the Predictors
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