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Prediction variance of a central composite design with missing observation
Communications in Statistics - Theory and Methods, 2020Shun Matsuura
exaly
Optimization of artemether-loaded NLC for intranasal delivery using central composite design
Drug Delivery, 2015Kunal Jain +2 more
exaly
Supercritical extraction of sunflower oil: A central composite design for extraction variables
Food Chemistry, 2016Amit Rai +2 more
exaly
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 ofopenaire +1 more source
Optimisation of Marshall Design criteria with central composite design in asphalt concrete
International Journal of Pavement Engineering, 2020Zeynel Baran Yildirim +2 more
exaly

