By Sergii Masiuk,Alexander Kukush,Sergiy Shklyar,Mykola Chepurny,Illya Likhtarov
Part I - Estimation in regression versions with mistakes in covariates
Measurement blunders models
Linear versions with classical error
Polynomial regression with recognized variance of classical error
Nonlinear and generalized linear versions
Part II Radiation threat estimation less than uncertainty in publicity doses
Overview of danger types learned in application package deal EPICURE
Estimation of radiation hazard less than classical or Berkson multiplicative mistakes in publicity doses
Radiation danger estimation for people uncovered via radioiodine end result of the Chornobyl accident
Elements of estimating equations theory
Consistency of effective methods
Efficient SIMEX technique as a mix of the SIMEX technique and the corrected ranking method
Application of regression calibration within the version with additive blunders 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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