A5081211141- Statistical Methods and Inference
- Radioactivity and Radon Measurements
- Statistical Methods and Bayesian Inference
- Bayesian Methods and Mixture Models
- Radioactive contamination and transfer
- Advanced Statistical Methods and Models
- Radiation Dose and Imaging
- Forest ecology and management
- Nuclear Physics and Applications
- Colorectal Cancer Screening and Detection
- Radiation Detection and Scintillator Technologies
- Ecology and Vegetation Dynamics Studies
- Statistical Methods in Clinical Trials
- Insurance, Mortality, Demography, Risk Management
- Economic and Fiscal Studies
- Nuclear and radioactivity studies
- Taxation and Legal Issues
- Statistical Distribution Estimation and Applications
- Education, Psychology, and Social Research
- Land Use and Ecosystem Services
National Radiation Protection Institute
2014-2017
Charles University
2015
Czech Academy of Sciences, Institute of Information Theory and Automation
2014
During the Eighth International Conference on High Levels of Natural Radiation and Radon Areas held in autumn 2014 at Prague, third intercomparison radon/thoron gas radon short-lived decay products measurement instruments was organised by Division National Protection Institute (NRPI; SÚRO v.v.i.) Prague. The newly focussed also continuous monitors with active sampling adapters capable to distinguish their mix field. results measurements carried out big NRPI chamber indicated very well an...
The European Council Directive 2013/59/Euratom of December 2013 established inter alia the uniform basic safety standards for health protection individuals being subject to occupational exposure. In Article 54, a new obligation is introduced-to regulate radon exposure in workplaces. EU Member States are obliged set national reference value workplaces, delineate areas where regulation will be applied and determine concerned types presented article shows Czech approach implementation this...
This text describes a method of estimating the hazard rate survival data following monotone Aalen regression model.The proposed approach is based on techniques which were introduced by Arjas and Gasbarra [4].The unknown functional parameters are assumed to be priori piecewise constant intervals varying count size.The estimates obtained with aid Gibbs sampler its variants.The performance explored simulations.The results indicate that applicable small sample size datasets.
This paper assesses the coverage probability of commonly used confidence intervals for standardized mortality ratio (SMR) when death certificates are missing. It also proposes alternative interval approaches with probabilities close to .95. In epidemiology, SMR is an important measure risk disease (or incidence) compare a specific group reference population. The appropriate crucial, especially 1.0 and statistical significance needs be determined. There several ways calculate intervals,...