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Therefore, it is critical to further promote a change in the production mode of risk information at a national level: "from measuring risk as an objective externality that can be reduced towards understanding risk as both an opportunity and a threat, and towards improved identification and estimation of the causes and consequences of risk generation and accumulation" (UNISDR 2015a, p. xviii).
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Thus, with our 50%% of missing causes of death, and our imputation model, it appears that we obtained a good estimation of the cause-specific survival.
The observational nature of the study does not allow estimation of the cause and effect relationship between the predictors and outcome as unmeasured confounding factors may not have been accounted for.
Estimation of the attributable causes of cancers was performed by calculating the proportion of specific cancers occurring in China in 2005 attributable to specific risk factors.
This is a probabilistic risk assessment problem that requires reliability analysis of the analytical system, and the estimation of the risk caused by the measurement error.
Therefore, estimation of the burden caused by AGI within the population is of particular importance for better utilization of the limited medical services, and ultimately, for establishment of preventive strategies.
They have shown how faulty data causes inaccurate estimation of the environment and causing wastage of network resources.
This correction allows to pass a more accurate initial estimate to the MED estimation of the following scan and causes the estimation error to decrease faster.
Comparing Eq. 31 with Eq. 26, it can be seen that the estimation of the phase shift caused by the frequency offset in Eq. 31 is more accurate.
For the accurate estimation of the performance degradation caused by interfering signals, their statistical and modulation characteristics have to be taken into account in the analysis.
Then, at time nT b, the estimation of the phase shift caused by the frequency offset in the duration of mT b is {e}_n^{jmoverset{frown }{varphi }}=frac{1}{n-m}{displaystyle sum_{k=m+1}^nleft{{r}_k{r}_{k-m}^ exp left[-jleft {theta}_k-{theta}_{k-m}right)right]right}} (21).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com