Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models

DOI10.1016/j.csda.2019.06.009OpenAlexW2954888364WikidataQ127557238 ScholiaQ127557238MaRDI QIDQ2008000

Zhenghui Feng, Jun Zhang, Bingqing Lin

Publication date: 22 November 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2019.06.009

zbMATH Keywords

confidence intervalscalibrationlocal linear smoothingmultiplicative distortion measurement errorsprofile least squared estimator

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Nonparametric tolerance and confidence regions (62G15)

Related Items (10)

General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors ⋮ Nonlinear regression models with profile nonlinear least squares estimation ⋮ Partial index additive models with additive distortion measurement errors ⋮ Detection the symmetry or asymmetry of model errors in partial linear models ⋮ Measurement errors models with exponential parametric multiplicative distortions ⋮ Partial linear additive distortion measurement errors models ⋮ Kernel density estimation for multiplicative distortion measurement regression models ⋮ Absolute logarithmic calibration for correlation coefficient with multiplicative distortion ⋮ Nonlinear multiplicative distortion regression models with second-order estimation ⋮ Kernel density estimation for partial linear multivariate responses models

Uses Software

• KernSmooth

Cites Work

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