Browsing by Subject "Small samples"
Now showing items 1-2 of 2
-
Analyzing small data sets using Bayesian estimation the case of posttraumatic stress symptoms following mechanical ventilation in burn survivors
(Co–action Publishing, 2015)Background: The analysis of small data sets in longitudinal studies can lead to power issues and often suffers from biased parameter values. These issues can be solved by using Bayesian estimation in conjunction with ... -
A comparison of VaR estimates in risk management
(North-West University (South Africa) , Potchefstroom Campus, 2016)In risk management one is often concerned with estimating high quantiles of the underlying distribution of a given sample of data. This is known to be challenging, especially if the quantile of interest is extremely high. ...