2020/12/21 by Sunanda Bagchi, Bagchi, Sunanda
Computer Science · Decision Sciences · Engineering · #62k10 #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Manufacturing Process and Optimization #Optimal Experimental Design Methods #Other Statistics (stat.OT) #Statistics Theory (math.ST)
paper · pdf · doi:10.48550/arxiv.2012.12891
openalex publication_date 2020/12/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the present paper we construct plans orthogonal through the block factor (POTBs). We describe procedures for adding blocks as well as factors to an initial plan and thus generate a bigger plan. Using these procedures we construct POTBs for symmetrical experiments with factors having three or more levels. We also construct a series of plans inter-class orthogonal through the block factor for two-level factors.