The Morris method of initial sensitivity analysis of large models varies factors singly along a few trajectories. Its nominally uniform coverage of the factors may deviate greatly from uniform in such small samples. Campolongo et al. suggest selecting a subset of trajectories from a large set, to maximise their spread. Ways to reduce the computing demand of this procedure are examined, including alternative distance measures and two-stage selection. An example with more economical selection is...[Show more]
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