Improved methods for the imputation of missing data by nearest neighbor methods
type: Item
instance of: scholarly article
title: Improved methods for the imputation of missing data by nearest neighbor methods
zbMATH Open document ID: 1468.62198
author: Gerhard Tutz
author: Shahla Ramzan
published in: Computational Statistics and Data Analysis
publication date: 2018-08-21T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62D10
zbMATH DE Number: 6921407
zbMATH Keywords: kernel function
zbMATH Keywords: weighted nearest neighbors
zbMATH Keywords: cross-validation
zbMATH Keywords: weighted imputation
zbMATH Keywords: MCAR
describes a project that uses: samr
describes a project that uses: R
describes a project that uses: VIM
describes a project that uses: impute
describes a project that uses: Imputation
MaRDI profile type: Publication
full work available at URL: j.csda.2015.04.009
OpenAlex ID: W2005149470
cites work: Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
cites work: Prediction of Missing Values in Microarray and Use of Mixed Models to Evaluate the Predictors
cites work: Imputation of missing values for compositional data using classical and robust methods
cites work: Q4779059
cites work: Nearest neighbour approach in the least-squares data imputation algorithms
DOI: 10.1016/J.CSDA.2015.04.009
description: scientific article; zbMATH DE number 6921407