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Classification and regression trees and forests for incomplete data from sample surveys

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Publication:4626698
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DOI10.5705/ss.202017.0225zbMath1412.62080OpenAlexW2744974721MaRDI QIDQ4626698

Yuanzhi Li, Moon Jung Cho, John L. Eltinge, Weih-Yin Loh

Publication date: 28 February 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/ccc10132fc05456fc54fd2ba7cf1f2c8669c1b2c


zbMATH Keywords

imputationresponse propensityitem nonresponse


Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05) General nonlinear regression (62J02)


Related Items (2)

Predicting missing values: a comparative study on non-parametric approaches for imputation ⋮ Multivariate understanding of income and expenditure in United States households with statistical learning




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