Main effect plan for \(2^n\) factorials which allow search and estimation of one unknown effect
From MaRDI portal
Publication:1141440
DOI10.1016/0378-3758(79)90017-XzbMath0437.62074OpenAlexW2089139605MaRDI QIDQ1141440
Publication date: 1979
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(79)90017-x
Other designs, configurations (05B30) Orthogonal arrays, Latin squares, Room squares (05B15) Factorial statistical designs (62K15)
Related Items (17)
A necessary condition for the existence of main effect plus one plans for 2mfactorials ⋮ Search designs for \(2^ m\) factorial experiments ⋮ Search designs for general asymmetric factorials ⋮ A bound connected with 26factorial search designs of resolution 3.1 ⋮ J.N. Srivastava and experimental design ⋮ An infinite series of resolution III.2 designs for the \(2^ m\) factorial experiment ⋮ Main effect plans with an additional search property for \(2^ m\) factorial experiments ⋮ A series of search designs for \(2^ m\) factorial designs of resolution V which permit search of one or two unknown extra three-factor interactions ⋮ Fractional factorial designs of two and three levels ⋮ A-ComVar: a flexible extension of common variance designs ⋮ Search designs for searching for one among the two- and three-factor interaction effects in the general symmetric and asymmetric factorials ⋮ Some results on main effect plus one plans for 2mfactorials ⋮ On the existence of main effect plus k plans for 2mfactorials and tables for main effect plus 1 and 2 plans for 27factorials ⋮ Search designs for \(2^ m\) factorials derived from balanced arrays of strength \(2(\ell +1)\) and AD-optimal search designs ⋮ Main effect plus one or two plans for \(2^ m\) factorials ⋮ Some search designs for symmetric and asymmetric factorials ⋮ Construction of main effect plus two plans for \(2^m\) factorials
Cites Work
This page was built for publication: Main effect plan for \(2^n\) factorials which allow search and estimation of one unknown effect
