Sampling Schemes for Policy Analyses Using Computer Simulation Experiments

Alicia L. Carriquiry, F. Jay Breidt, P. G. Lakshminarayan
February 1996  [96-WP 153]

The authors discuss the problem of designing computer simulation experiments that require generating data for just a fraction of the possible input combinations. The paper outlines spatial sampling schemes for agricultural conjoint source pollution assessment using biogeophysical model simulation experiments. Their unique sampling design uses the National Resources Inventory, a state-of-the-art database, as the sampling frame. This protocol results in a two-phase sample, with immediately available expansion factors for each element in the sample.

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