(9 Additionally to the modelling scenario based on all LiDAR-AGB estimates, we estimated AGB at national scale using LiDAR-AGB samples with uncertainties below 50% (left( {Sat_LiDwidehat{{AR_{{AGB_{uncert50} }} }}} right)).
These curves incorporate the uncertainty that exists around the estimates of mean costs and effects as a result of sampling variation with uncertainty regarding the maximum cost-effectiveness ratio that a decision-maker would consider acceptable.
These methods are applied to a linearized model of a sampled-data system with uncertainty and access to full state measurements.
The Tempkin isotherm was ranked 1 in case of all the 3 samples with extremely low uncertainties on both parameters k1 and k2.
The poor behaviour may be explained by the fact that performing a random-effects meta-analysis effectively means the estimation of first- and second-order statistics, and it is not overly surprising to find that this is a hard task when the data consist of as few as two samples that are only measured with uncertainty.
A second paediatrician reviewed a 10% random sample of these, plus any with uncertainty about the diagnosis.
The cellulose conversion, based on cellobiose and glucose yields and calculated using Equation 3, was averaged for quadruplicate reactors at each sampling time-point and plotted with uncertainty bars at a 95% confidence interval in Figure 2(a).
The alternative scenarios showed that altering the value of input parameters not associated with sampling uncertainty (and hence not varied in the probabilistic sensitivity analysis) had minor impact on the cost effectiveness results.
This procedure was used for the stochastic quantal treatment of tumors with 10 MC samples for uncertainty (j) (for θ, 10 bootstrap samples were resampled with replacement) and 10 MC samples for variability (k).
