Monte Carlo maximum likelihood estimates and corresponding 95% confidence intervals resulting from the joint modelling as described in section geostatistical modelling framework.
Especially in biomanufacturing, methods to design optimal experiments are a valuable technique to fully exploit the potential of the emerging technical possibilities that are driving experimental mini
Mean age and 95% confidence intervals (LCL = lower confidence limit, UCL = upper confidence limit) for subset of back lengths constrained by lb and l∞ calculated from Monte Carlo simulations.
