CHEN-TUO LIAOSHIN-FU TSAI2019-06-182019-06-18201403783758https://scholars.lib.ntu.edu.tw/handle/123456789/411121© 2014 Elsevier B.V. A new class of robust designs against missing data, called the minimum breakdown designs, is proposed for two-level orthogonal main-effect plans. The minimum breakdown designs provide the highest probability to derive a non-singular residual design for estimating the grand mean and all the main effects, when a fraction of experimental data is unavailable. Some theoretical and computational results for characterizing the minimum breakdown designs are developed. In addition, a catalogue of the proposed designs with practical run-sizes is presented for multifactorial experiments.Hadamard matrix | Missing value | Orthogonal array | Robust designjournal article10.1016/j.jspi.2014.07.0072-s2.0-84908207523WOS:000343620000010http://www.scopus.com/inward/record.url?eid=2-s2.0-84908207523&partnerID=MN8TOARS21698157