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Parameter estimation and the implementation of the design of experiments strategy are demonstrated, and the reactivity ratio estimates are analyzed in terms of both precision and accuracy.
Finally, reactivity ratio values based on optimally selected experiments are suggested. Comparisons between low and medium-high conversion level data are also included to examine the effect of the data set (and its inherent errors) on reactivity ratio estimation results. Experimental 2. Design of Experiments Optimal design of experiments leads to increased information content while minimizing the number of experiments and obtaining more precise parameter estimates.