Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors

Lignende værker

• Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error
  af: Carroll, Raymond J., et al.
  Udgivet: (2011)
• Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data
  af: de Dieu Tapsoba, Jean, et al.
  Udgivet: (2019)
• Methods for Estimation of Radiation Risk in Epidemiological Studies Accounting for Classical and Berkson Errors in Doses
  af: Kukush, Alexander, et al.
  Udgivet: (2011)
• Expected Estimating Equation using Calibration Data for Generalized Linear Models with a Mixture of Berkson and Classical Errors in Covariates
  af: de Dieu Tapsoba, Jean, et al.
  Udgivet: (2013)
• Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses
  af: Masiuk, S. V., et al.
  Udgivet: (2016)