By Sergii Masiuk,Alexander Kukush,Sergiy Shklyar,Mykola Chepurny,Illya Likhtarov
Part I - Estimation in regression types with error in covariates
Measurement mistakes models
Linear types with classical error
Polynomial regression with identified variance of classical error
Nonlinear and generalized linear types
Part II Radiation possibility estimation lower than uncertainty in publicity doses
Overview of hazard types discovered in software package deal EPICURE
Estimation of radiation hazard less than classical or Berkson multiplicative errors in publicity doses
Radiation hazard estimation for people uncovered by way of radioiodine end result of the Chornobyl accident
Elements of estimating equations theory
Consistency of effective methods
Efficient SIMEX procedure as a mixture of the SIMEX process and the corrected rating method
Application of regression calibration within the version with additive mistakes in publicity doses
Read or Download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) PDF
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