Nonlinear measurement error models subject to additive distortion

DOI10.1016/j.jspi.2014.03.005zbMath1287.62012OpenAlexW2062151392MaRDI QIDQ2453611

Yao Yu, Bu Zhou, Hua Liang, Jun Zhang

Publication date: 10 June 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2014.03.005

zbMATH Keywords

empirical processesbootstrap approximationmodel checkingempirical likelihoodregression splinesdistorting functionsmeasurement error modelscovariate-adjusted regressionmultiplicative effectsconfounding variables

Mathematics Subject Classification ID

Related Items (8)

Statistical inference on restricted linear regression models with partial distortion measurement errors ⋮ Detection the symmetry or asymmetry of model errors in partial linear models ⋮ Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient ⋮ Measurement errors models with exponential parametric multiplicative distortions ⋮ Statistical inference on restricted partial linear regression models with partial distortion measurement errors ⋮ Correlation analysis with additive distortion measurement errors ⋮ Statistical inference on partial linear additive models with distortion measurement errors ⋮ Nonlinear measurement errors models subject to partial linear additive distortion

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