Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data

DOI10.1080/02664763.2017.1410524OpenAlexW2772840371MaRDI QIDQ5036472

Karel Hron, Jiajia Chen, Matthias Templ, Xiao-Qin Zhang, Sheng-Jia Li

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1410524

zbMATH Keywords

cluster analysiscompositional datapartial least squares regressioncentered logratio coordinatesrounded zeros

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

Partial least squares regression with compositional response variables and covariates

Uses Software

• chemometrics
• zCompositions

Cites Work

• Unnamed Item
• Dealing with zeros and missing values in compositional data sets using nonparametric imputation
• Isometric logratio transformations for compositional data analysis
• New perspectives on water chemistry and compositional data analysis
• Model-based replacement of rounded zeros in compositional data: classical and robust approaches
• A parametric approach for dealing with compositional rounded zeros
• Analyzing Compositional Data with R
• Multiple linear regression with compositional response and covariates
• Geometric approach to statistical analysis on the simplex

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