کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1148505 | 1489767 | 2014 | 6 صفحه PDF | دانلود رایگان |
• Robust designs against missing data for two-level orthogonal main-effect plans are investigated.
• Theoretical results regarding the nearly saturated designs are developed.
• A catalogue of the maximally robust designs with practical run-sizes is provided.
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.
Journal: Journal of Statistical Planning and Inference - Volume 155, December 2014, Pages 135–140