পদ্ধতির তুলনা করুন

	অপ্টিমাল এক্সপেরিমেন্টাল ডিজাইন (ডি-অপ্টিমাল, আই-অপ্টিমাল)	বক্স-বেঙ্কেন ডিজাইন
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Hypothesis test	Process / pipeline
উদ্ভবের বছর	1972	1960
প্রবর্তক	V. V. Fedorov	George E. P. Box and Donald W. Behnken
ধরন	Computer-aided optimal design	Response surface design (incomplete three-level factorial)
মৌলিক উৎস	Fedorov, V.V. (1972). Theory of Optimal Experiments. Academic Press.	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
অপর নাম	D-Optimal Design, I-Optimal Design, Computer-Generated Design, Optimal Deneme Deseni (D-Optimal, I-Optimal)	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
সম্পর্কিত	5	3
সারসংক্ষেপ	Optimal experimental design is a computer-aided approach to constructing experiments that maximises statistical efficiency for a given model and run budget. Formalised by V. V. Fedorov in 1972, it selects experimental points from a candidate set so that the information matrix M = X'X is optimised according to a chosen criterion — most commonly D-optimality (maximising the determinant) or I-optimality (minimising average prediction variance). It is the preferred strategy whenever classical designs such as central composite or Box-Behnken cannot be applied because the experimental region is constrained or factor ranges are irregular.	The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test.