For discovering significant aspects to increase the quality of an experiment, orthogonal arrays such as factorial and fractional factorial designs of experimental plans are used. In the early stages of scientific research, Super Saturated Designs are particularly cost-effective. Nearly-Orthogonal Arrays with good statistical features can create a variety of small-run designs with varied levels. Super Saturated Design and Nearly Orthogonal Design are created with Orthogonal Design in this work. The creation of factor screening experiments that are optimal or extremely efficient under the E (s2) and J2 criterion has sparked a lot of attention. We are primarily interested in finding a combinatorial solution to the experiment. Using Hadamard design on thalassemic children's data, we suggested a class of exceptional super saturated designs and produced mixed level orthogonal arrays and nearly orthogonal arrays.
Author(s) Details
Sunita Khurana
School of Statistics, Devi Ahilya University, Indore, M.P., India
Shakti Banerjee
School of Statistics, Devi Ahilya University, Indore, M.P., India
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