Statistical inference for linear regression models with additive distortion measurement errors

DOI10.1007/s00362-018-1057-2zbMath1461.62122OpenAlexW2900688680MaRDI QIDQ2029215

Zhenghui Feng, Jun Zhang, Qi'an Chen

Publication date: 3 June 2021

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-018-1057-2

zbMATH Keywords

kernel smoothingmodel checkingmeasurement errorslinear regression modelsresidual based estimator

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Related Items (11)

Logarithmic calibration for partial linear models with multiplicative distortion measurement errors ⋮ Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model ⋮ Additive distortion measurement errors regression models with exponential calibration ⋮ Linear regression models with general distortion measurement errors ⋮ Testing symmetry for additive distortion measurement errors data ⋮ Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion ⋮ Partial index additive models with additive distortion measurement errors ⋮ Partial linear additive distortion measurement errors models ⋮ Model checking for multiplicative linear regression models with mixed estimators ⋮ Logarithmic calibration for nonparametric multiplicative distortion measurement errors models ⋮ Modal linear regression models with additive distortion measurement errors

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