ANALYSIS OF DETERMINISTIC SIMULATION-MODEL PERFORMANCE USING NON-REPLICATED FACTORIAL 2-LEVEL EXPERIMENTS

The usefulness of deterministic simulation models has increased in agr icultural applications. This increase must be matched with the use of analytical tools that can verify and validate their performance and he lp interpret their output. Values of model input variables can be sele cted by the analyst and are analogous to the concept of factors in con ventional experiments. However, deterministic models cannot produce in dependent replications of selected input variables; many statistical a nalysis procedures cannot therefore be utilized. Consequently, this pr esentation describes the use of techniques applicable to the analysis of unreplicated, two-level factorial experiments. It is demonstrated t hat these concepts are a solution to the problem of how to evaluate de terministic simulation model performance and analyse deterministic sim ulation experiments. Copyright (C) 1996 Published by Elsevier Science Ltd