Home

  • Order to parcel locker

    Order to parcel locker

  • easy pay

    easy pay
  • Reduced price
Radiation Risk Estimation: Based on Measurement Error Models

Radiation Risk Estimation: Based on Measurement Error Models

9783110441802
821.87 zł
780.77 zł Save 41.10 zł Tax included
Lowest price within 30 days before promotion: 780.77 zł
Quantity
Available in 7-14 days

  Delivery policy

Choose Paczkomat Inpost, Orlen Paczka, DHL, DPD or Poczta Polska. Click for more details

  Security policy

Pay with a quick bank transfer, payment card or cash on delivery. Click for more details

  Return policy

If you are a consumer, you can return the goods within 14 days. Click for more details

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

Product Details
De Gruyter
77603
9783110441802
9783110441802

Data sheet

Publication date
2017
Issue number
1
Cover
hard cover
Pages count
270
Dimensions (mm)
170.00 x 240.00
Weight (g)
592
Comments (0)
Viewed products

  • Frequently purchased together

    No products available