Uncertain Johnson-Schumacher growth model with imprecise observations and \(k\)-fold cross-validation test

DOI10.1007/s00500-019-04090-4zbMath1436.62368OpenAlexW2946911180WikidataQ127803655 ScholiaQ127803655MaRDI QIDQ781335

Shiqin Liu, Liang Fang, Zhiyong Huang

Publication date: 16 July 2020

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-019-04090-4

zbMATH Keywords

regression analysisuncertainty theoryuncertain variable\(k\)-fold cross-validationJohnson-Schumacher growth model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Linear regression; mixed models (62J05) Fuzziness, and linear inference and regression (62J86)

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