] is obtained. The intervals are scaled by variable parameters, which define a rectangular box in case of two variables, a cuboid for three parameters etc. (dash-dotted box in Fig. ). Uniform random numbers are generated within the interval defined by the box and checked if they obey equation 35. If they do, the parameters are kept, otherwise they are discarded. An ideal confidence interval is represented in Fig. as red ellipsoid, with the maximum values for θ 1 and θ 2 form the limits of the confidence interval. Similar to previous methods, Model Compar- ison is parallelised, where amount of Monte Carlo steps is equally divided across the threads.