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Inferences for uncertain nonparametric regression by least absolute deviations

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Publication:6170125
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DOI10.1080/03610926.2021.2016832MaRDI QIDQ6170125

Jianhua Ding, Hong-yu Zhang, Zhi-Qiang Zhang

Publication date: 12 July 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)


zbMATH Keywords

least absolute deviationsuncertain variableuncertain nonparametric regression


Mathematics Subject Classification ID

Linear regression; mixed models (62J05)




Cites Work

  • Uncertain revised regression analysis with responses of logarithmic, square root and reciprocal transformations
  • Uncertain Johnson-Schumacher growth model with imprecise observations and \(k\)-fold cross-validation test
  • Analytic solution of uncertain autoregressive model based on principle of least squares
  • Uncertain data envelopment analysis with imprecisely observed inputs and outputs
  • Uncertain regression analysis: an approach for imprecise observations
  • Statistical inference on uncertain nonparametric regression model
  • Least absolute deviations estimation for uncertain regression with imprecise observations
  • Least-squares estimation for uncertain moving average model
  • Uncertainty theory
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