Bounds on the maximum number of clear two-factor interactions for 2m-pdesigns of resolution III and IV

DOI10.2307/3315869zbMath0999.62059OpenAlexW1965247940MaRDI QIDQ3148217

No author found.

Publication date: 3 December 2002

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315869

zbMATH Keywords

fractional factorial designminimum aberrationestimation capacitycompromise plan

Mathematics Subject Classification ID

Factorial statistical designs (62K15) Robust parameter designs (62K25)

Related Items (33)

Clear two-factor interactions and minimum aberration ⋮ Analysis on \(s^{n-m}\) designs with general minimum lower-order confounding ⋮ Designs containing partially clear main effects ⋮ An efficient method for identifying clear effects in blocked fractional factorial designs ⋮ On simplifying the calculations leading to designs with general minimum lower-order confounding ⋮ Asymmetrical factorial designs containing clear effects ⋮ D-optimal two-level orthogonal arrays for estimating main effects and some specified two-factor interactions ⋮ Bounds on the maximum numbers of clear two-factor interactions for \(2^{(n_1 + n_2 ) - (k_1 + k_2 )}\) fractional factorial split-plot designs ⋮ Construction of \(2^{m - (m - k)}_{\text{III}}\) designs with the maximum number of clear two-factor interactions ⋮ Lower-order confounding information of inverse Yates-order two-level designs ⋮ Nonregular two-level designs of resolution IV or more containing clear two-factor interactions ⋮ Mixed-level designs with resolution III or IV containing clear two-factor interaction components ⋮ Mixed two- and four-level fractional factorial split-plot designs with clear effects ⋮ Unnamed Item ⋮ Asymmetrical split-plot designs with clear effects ⋮ On blocked resolution IV designs containing clear two-factor interactions ⋮ On constructing general minimum lower order confounding two-level block designs ⋮ Generalized variable resolution designs ⋮ \(2^m 4^n\) designs with resolution III or IV containing clear two-factor interaction components ⋮ Some results on \(4^m 2^n\) designs with clear two-factor interaction components ⋮ 2^{m − p} compromise plans with strongly clear specified main effects and two-factor interactions ⋮ Grid representations for \(2^{m-(m-k)}_{\text{IV}}\) join designs containing maximum number of clear two-factor interactions ⋮ On construction of general minimum lower order confounding \(2^{n - m}\) designs with \(N/4+1\leq n\leq 9N/32\) ⋮ \(s^{n-m}\) designs containing clear main effects or clear two-factor interactions ⋮ Compromise \(4^m2^n\) plans with clear two-factor interactions ⋮ Doubling and projection: A method of constructing two-level designs of resolution IV ⋮ A note on minimum aberration and clear criteria ⋮ A maximum estimability criterion for design classification and selection ⋮ Some results on blocked regular 2-level fractional factorial designs with clear effects ⋮ \(2^{(n_{1}+n_{2})-(k_{1}+k_{2})}\) fractional factorial split-plot designs containing clear effects ⋮ A Note on the Lower Bounds on Maximum Number of Clear Two-Factor Interactions for (2^m−p_III) and (2^m−p_IV) Designs ⋮ Mixed 2- and \(2^r\)-level fractional factorial split-plot designs with clear effects ⋮ Three-level regular designs with general minimum lower-order confounding

Cites Work

• Capacity considerations for two-level fractional factorial designs
• \(2^{n-m}\) designs with resolution III or IV containing clear two-factor interactions
• Minimum Aberration 2 k-p Designs
• Minimum Aberration and Model Robustness for Two-Level Fractional Factorial Designs
• A Catalogue of Two-Level and Three-Level Fractional Factorial Designs with Small Runs
• Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments

This page was built for publication: Bounds on the maximum number of clear two-factor interactions for 2m-pdesigns of resolution III and IV