Two-level orthogonal and saturated designs for estimating main effects and certain important interactions
Journal
Communications in Statistics - Theory and Methods
Journal Volume
42
Journal Issue
24
Pages
4411-4416
Date Issued
2013
Author(s)
Abstract
In a two-level factorial experiment, we consider orthogonal designs that allow joint estimation of the grand mean, all main effects, and certain classes of two-level interactions, assuming that the remaining effects are all negligible. Based on a judicious allocation of the factorial effects of interest to the columns of a Hadamard matrix, we propose some general classes of orthogonal and saturated designs which include some existing orthogonal main-effect plans of asymmetric factorials as special cases.
SDGs
Type
journal article