Some theory for constructing general minimum lower order confounding designs

DOI10.5705/ss.2008.314zbMath1225.62109OpenAlexW2131222727MaRDI QIDQ5894347

Jie Chen, Min-Qian Liu

Publication date: 10 November 2011

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/76c1281ace2e43690a3c3c757fb53607bd75b2c4

zbMATH Keywords

general minimum lower order confoundingminimum aberrationalias setmaximal design

Mathematics Subject Classification ID

Factorial statistical designs (62K15)

Related Items (14)

Analysis on \(s^{n-m}\) designs with general minimum lower-order confounding ⋮ Construction of blocked designs with multi block variables ⋮ Some results on constructing two-level block designs with general minimum lower order confounding ⋮ Lower-order confounding information of inverse Yates-order two-level designs ⋮ Results on constructing \(s^{n-m}\) regular designs with general minimum lower-order confounding ⋮ Lower-order confounding information of inverse Yates-order designs with three levels ⋮ Characterization of three-order confounding via consulting sets ⋮ Construction of some \(s\)-level regular designs with general minimum lower-order confounding ⋮ Unnamed Item ⋮ On construction of optimal two-level designs with multi block variables ⋮ On general minimum lower order confounding criterion for \(s\)-level regular designs ⋮ General minimum lower-order confounding split-plot designs with important whole-plot factors ⋮ A note on the construction of blocked two-level designs with general minimum lower order confounding ⋮ A theory on constructing blocked two-level designs with general minimum lower order confounding

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