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WISCONSIN UNIV MADISON DEPT OF STATISTICS
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In this paper the basic iterative nature of experimental learning process is emphasized. The role of iteration is then discussed for a number of specific classes of problems. These include the screening of variables, empirical model building, mechanistic model fitting. Recent contributions to the important problem of mechanistic model building are emphasized.
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