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Central composite designs with missing observations: evaluation and comparisons

In meticulously designed experiments, it is conceivable that certain observations may vanish, be compromised, or become unattainable due to factors beyond the control of the experimenter. The unavailability of these observations disrupts the orthogonality and balance of the experimental design, thereby influencing the inferences drawn. The objective of
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Analysis of small central composite designs

Communications in Statistics - Theory and Methods
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Enhancing performance of modified central composite designs in robust parameter designs

Communications in Statistics - Simulation and Computation
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