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BAYES FACTORS FOR COMPARISONS OF $2^3$ FACTORIAL DESIGNS
Keywords:
full factorial design, reduced factorial design, fractional factorial designs, Bayes factor, resolution, simulation datasets.DOI:
https://doi.org/10.17654/0972361722054Abstract
In this study, we have been examined the effect of factors in full factorial and fractional factorial designs. Also, a reduced factorial design is considered, which consists of only significant factors. Furthermore, we wish to know or get additional information beyond the fractional factorial design if there is no restriction to add more experimental runs to the model. The simulation study is carried out to examine the effectiveness of factors through a real data application. The Bayes factors are used and found to identify and quantify the original weightage of the main/interaction effects in these three designs through the simulation datasets.
Received: December 19, 2021
Revised: May 20, 2022
Accepted: May 28, 2022
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