Radiation Risk Estimation : : Based on Measurement Error Models / / Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov.
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 m...
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Masiuk, Sergii, author. aut http://id.loc.gov/vocabulary/relators/aut Radiation Risk Estimation : Based on Measurement Error Models / Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov. Berlin ; Boston : De Gruyter, [2017] ©2017 1 online resource (XXX, 240 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Series in Mathematics and Life Sciences , 2195-5530 ; 5 Frontmatter -- List of authors -- Editor’s Foreword -- Preface -- In memoriam Illya Likhtarov (1935–2017) -- Contents -- List of symbols, abbreviations, units, and terms -- Part I. Estimation in regression models with errors in covariates -- 1. Measurement error models -- 2. Linear models with classical error -- 3. Polynomial regression with known variance of classical error -- 4. Nonlinear and generalized linear models -- Part II. Radiation risk estimation under uncertainty in exposure doses -- 5. Overview of risk models realized in program package EPICURE -- 6. Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses -- 7. Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident -- A Elements of estimating equations theory -- B. Consistency of efficient methods -- C. Efficient SIMEX method as a combination of the SIMEX method and the corrected score method -- D. Application of regression calibration in the model with additive error in exposure doses -- Bibliography -- Index -- Also of Interest restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 covariatesMeasurement error modelsLinear models with classical errorPolynomial regression with known variance of classical errorNonlinear and generalized linear models Part II Radiation risk estimation under uncertainty in exposure dosesOverview of risk models realized in program package EPICUREEstimation of radiation risk under classical or Berkson multiplicative error in exposure dosesRadiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accidentElements of estimating equations theoryConsistency of efficient methodsEfficient SIMEX method as a combination of the SIMEX method and the corrected score methodApplication of regression calibration in the model with additive error in exposure doses Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) Nuclear reactors--Containment. Messfehler. Risikomanagement. Statistik. Strahlenschaden. MATHEMATICS / Probability & Statistics / General. bisacsh Chepurny, Mykola, author. aut http://id.loc.gov/vocabulary/relators/aut Kukush, Alexander, author. aut http://id.loc.gov/vocabulary/relators/aut Likhtarov, Illya, author. aut http://id.loc.gov/vocabulary/relators/aut Shklyar, Sergiy, author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter DG Plus DeG Package 2017 Part 1 9783110762495 Title is part of eBook package: De Gruyter DG Plus eBook-Package 2017 9783110719543 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2017 9783110540550 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE ENGLISH 2017 9783110625264 Title is part of eBook package: De Gruyter EBOOK PACKAGE Mathematics 2017 9783110548204 ZDB-23-DMA EPUB 9783110433470 print 9783110441802 https://doi.org/10.1515/9783110433661 https://www.degruyter.com/isbn/9783110433661 Cover https://www.degruyter.com/document/cover/isbn/9783110433661/original |
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English |
format |
eBook |
author |
Masiuk, Sergii, Masiuk, Sergii, Chepurny, Mykola, Kukush, Alexander, Likhtarov, Illya, Shklyar, Sergiy, |
spellingShingle |
Masiuk, Sergii, Masiuk, Sergii, Chepurny, Mykola, Kukush, Alexander, Likhtarov, Illya, Shklyar, Sergiy, Radiation Risk Estimation : Based on Measurement Error Models / De Gruyter Series in Mathematics and Life Sciences , Frontmatter -- List of authors -- Editor’s Foreword -- Preface -- In memoriam Illya Likhtarov (1935–2017) -- Contents -- List of symbols, abbreviations, units, and terms -- Part I. Estimation in regression models with errors in covariates -- 1. Measurement error models -- 2. Linear models with classical error -- 3. Polynomial regression with known variance of classical error -- 4. Nonlinear and generalized linear models -- Part II. Radiation risk estimation under uncertainty in exposure doses -- 5. Overview of risk models realized in program package EPICURE -- 6. Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses -- 7. Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident -- A Elements of estimating equations theory -- B. Consistency of efficient methods -- C. Efficient SIMEX method as a combination of the SIMEX method and the corrected score method -- D. Application of regression calibration in the model with additive error in exposure doses -- Bibliography -- Index -- Also of Interest |
author_facet |
Masiuk, Sergii, Masiuk, Sergii, Chepurny, Mykola, Kukush, Alexander, Likhtarov, Illya, Shklyar, Sergiy, Chepurny, Mykola, Chepurny, Mykola, Kukush, Alexander, Kukush, Alexander, Likhtarov, Illya, Likhtarov, Illya, Shklyar, Sergiy, Shklyar, Sergiy, |
author_variant |
s m sm s m sm m c mc a k ak i l il s s ss |
author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author2 |
Chepurny, Mykola, Chepurny, Mykola, Kukush, Alexander, Kukush, Alexander, Likhtarov, Illya, Likhtarov, Illya, Shklyar, Sergiy, Shklyar, Sergiy, |
author2_variant |
m c mc a k ak i l il s s ss |
author2_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author_sort |
Masiuk, Sergii, |
title |
Radiation Risk Estimation : Based on Measurement Error Models / |
title_sub |
Based on Measurement Error Models / |
title_full |
Radiation Risk Estimation : Based on Measurement Error Models / Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov. |
title_fullStr |
Radiation Risk Estimation : Based on Measurement Error Models / Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov. |
title_full_unstemmed |
Radiation Risk Estimation : Based on Measurement Error Models / Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov. |
title_auth |
Radiation Risk Estimation : Based on Measurement Error Models / |
title_alt |
Frontmatter -- List of authors -- Editor’s Foreword -- Preface -- In memoriam Illya Likhtarov (1935–2017) -- Contents -- List of symbols, abbreviations, units, and terms -- Part I. Estimation in regression models with errors in covariates -- 1. Measurement error models -- 2. Linear models with classical error -- 3. Polynomial regression with known variance of classical error -- 4. Nonlinear and generalized linear models -- Part II. Radiation risk estimation under uncertainty in exposure doses -- 5. Overview of risk models realized in program package EPICURE -- 6. Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses -- 7. Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident -- A Elements of estimating equations theory -- B. Consistency of efficient methods -- C. Efficient SIMEX method as a combination of the SIMEX method and the corrected score method -- D. Application of regression calibration in the model with additive error in exposure doses -- Bibliography -- Index -- Also of Interest |
title_new |
Radiation Risk Estimation : |
title_sort |
radiation risk estimation : based on measurement error models / |
series |
De Gruyter Series in Mathematics and Life Sciences , |
series2 |
De Gruyter Series in Mathematics and Life Sciences , |
publisher |
De Gruyter, |
publishDate |
2017 |
physical |
1 online resource (XXX, 240 p.) Issued also in print. |
contents |
Frontmatter -- List of authors -- Editor’s Foreword -- Preface -- In memoriam Illya Likhtarov (1935–2017) -- Contents -- List of symbols, abbreviations, units, and terms -- Part I. Estimation in regression models with errors in covariates -- 1. Measurement error models -- 2. Linear models with classical error -- 3. Polynomial regression with known variance of classical error -- 4. Nonlinear and generalized linear models -- Part II. Radiation risk estimation under uncertainty in exposure doses -- 5. Overview of risk models realized in program package EPICURE -- 6. Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses -- 7. Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident -- A Elements of estimating equations theory -- B. Consistency of efficient methods -- C. Efficient SIMEX method as a combination of the SIMEX method and the corrected score method -- D. Application of regression calibration in the model with additive error in exposure doses -- Bibliography -- Index -- Also of Interest |
isbn |
9783110433661 9783110762495 9783110719543 9783110540550 9783110625264 9783110548204 9783110433470 9783110441802 |
issn |
2195-5530 ; |
url |
https://doi.org/10.1515/9783110433661 https://www.degruyter.com/isbn/9783110433661 https://www.degruyter.com/document/cover/isbn/9783110433661/original |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
360 - Social problems & social services |
dewey-ones |
363 - Other social problems & services |
dewey-full |
363.17/9902 |
dewey-sort |
3363.17 49902 |
dewey-raw |
363.17/9902 |
dewey-search |
363.17/9902 |
doi_str_mv |
10.1515/9783110433661 |
oclc_num |
984653500 |
work_keys_str_mv |
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status_str |
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ids_txt_mv |
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hierarchy_parent_title |
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is_hierarchy_title |
Radiation Risk Estimation : Based on Measurement Error Models / |
container_title |
Title is part of eBook package: De Gruyter DG Plus DeG Package 2017 Part 1 |
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