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This paper describes, in general terms, methods to help design the runs for simulation models and interpreting their output.Statistical methods are described for several different purposes, and related probiemS iike COmparisOn, ..~ -1_ --_ __ ~..^L: ^_ _^__ vdridnce ~~UUCLIWII, sen sitivity estimation, metamodeling, and optimization are mentioned.The main point is to call attention to the challenges and opportunities in using simulation models carefully and effectively.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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