International Journal of Mathematics Trends and Technology
Volume 68 | Issue 3 | Year 2022 | Article Id. IJMTT-V68I3P509 | DOI : https://doi.org/10.14445/22315373/IJMTT-V68I3P509
In this study, we discussed the effect of factors in full factorial and fractional factorial designs, also we considered reduced factorial design which consists of significant factors alone. Sometimes, the experimenter wants to know/get additional information than the fractional factorial design if there is no restriction in the experimental run. 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.
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R. Vijayaragunathan, S. Kanaga Vel, M. R. Srinivasan, "Comparisons of 23 Factorial Designs by Frequentist and Bayesian Approach," International Journal of Mathematics Trends and Technology (IJMTT), vol. 68, no. 3, pp. 45-50, 2022. Crossref, https://doi.org/10.14445/22315373/IJMTT-V68I3P509
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