Download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) PDF Free - Full Version
Download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) by Sergii Masiuk in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences)
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. 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 modelsPart 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
Detailed Information
| Author: | Sergii Masiuk |
|---|---|
| Publication Year: | 2017 |
| ISBN: | 9783110433470 |
| Language: | English |
| File Size: | 8.4 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) PDF?
Yes, on https://PDFdrive.to you can download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) by Sergii Masiuk completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) on my mobile device?
After downloading Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences)?
Yes, this is the complete PDF version of Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) by Sergii Masiuk. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Radiation Risk Estimation: Based on Measurement Error Models (De Gruyter Series in Mathematics and Life Sciences) PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
