Figure 1.

Examples of the three different sampling schemes: (a) random sampling, (b) full factorial sampling, and (c) Latin Hypercube Sampling, for a simple case of 10 samples (samples for τ₂ ~ U (6,10) and λ ~ N (0.4, 0.1) are shown). In random sampling, there are regions of the parameter space that are not sampled and other regions that are heavily sampled; in full factorial sampling, a random value is chosen in each interval for each parameter and every possible combination of parameter values is chosen; in Latin Hypercube Sampling, a value is chosen once and only once from every interval of every parameter (it is efficient and adequately samples the entire parameter space).