Sergii Masiuk Alexander Kukush Sergiy Shklyar Mykola Radiation Risk (Hardback)

$ 129.82

gtin13: 9783110441802 Number of Pages: 270 Pages Subject Area: Mathematics, Technology & Engineering, Medical Publication Year: 2017 Genre: Science Nature & Math Book Title: Radiation Risk Estimation Item Length: 9.4 in ISBN: 9783110441802 EAN: 9783110441802 Country of Origin: DE Publication Name: Radiation Risk Estimation : Based on Measurement Error Models Series: De Gruyter Series in Mathematics and Life Sciences Ser. Item Weight: 20.9 Oz Edition: 1st Language: English Publisher: DE Gruyter Gmbh, Walter Author: Sergiy Shklyar, Sergii Masiuk, Alexander Kukush, Illya Likhtarov, Mykola Chepurny Subject: Power Resources / Nuclear, Probability & Statistics / General, Radiology, Radiotherapy & Nuclear Medicine, Physiology, Applied Release Year: 2017 Release Date: 03/06/2017 Format: Hardcover Subtitle: Based on Measurement Error Models Type: Textbook Item Width: 6.7 in ISBN-10: 3110441802 Item Height: 240mm

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Further Details Title: Radiation Risk Estimation Condition: New Author: Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov Publisher: De Gruyter Format: Hardback Subtitle: Based on Measurement Error Models ISBN-10: 3110441802 EAN: 9783110441802 ISBN: 9783110441802 Release Date: 03/06/2017 Genre: Science Nature & Math Edition: 1st Description: This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological studies. Contents: Part I - Estimation in regression models with errors in covariates Measurement error models Linear models with classical error Polynomial regression with known variance of classical error Nonlinear and generalized linear models Part II Radiation risk estimation under uncertainty in exposure doses Overview of risk models realized in program package EPICURE Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident Elements of estimating equations theory Consistency of efficient methods Efficient SIMEX method as a combination of the SIMEX method and the corrected score method Application of regression calibration in the model with additive error in exposure doses Language: English Country/Region of Manufacture: DE Item Height: 240mm Item Length: 170mm Item Weight: 592g Series: De Gruyter Series in Mathematics and Life Sciences Type: Mathematics Release Year: 2017 Missing Information? Please contact us if any details are missing and where possible we will add the information to our listing.

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