Multivariate understanding of income and expenditure in United States households with statistical learning

DOI10.1007/s00180-022-01251-2zbMath1505.62197OpenAlexW4286762150MaRDI QIDQ2095740

Mingzhao Hu

Publication date: 15 November 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-022-01251-2

zbMATH Keywords

principal component analysiscanonical correlation analysiscluster analysisdata visualizationsinterpretive modeling

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• R
• Hmisc
• ggplot2
• PCAmixdata
• MICE
• rgl
• ClustOfVar
• factoextra

Cites Work

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• The morbidity of multivariable grey model \(\mathrm{MGM}(1, m)\)
• ggplot2
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Classification and regression trees and forests for incomplete data from sample surveys
• Asymptotic Theory for Principal Component Analysis
• RELATIONS BETWEEN TWO SETS OF VARIATES

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