By Sergii Masiuk,Alexander Kukush,Sergiy Shklyar,Mykola Chepurny,Illya Likhtarov

This monograph discusses statistics and possibility estimates utilized to radiation harm less than the presence of size mistakes. the 1st half covers nonlinear size blunders types, with a selected emphasis on potency of regression parameter estimators. within the moment half, hazard estimation in versions with size error is taken into account. potency of the equipment offered is confirmed utilizing info from radio-epidemiological experiences.


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

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