Sentence examples for main effect designs from inspiring English sources
This paper extends the results concerning D-optimal saturated main effect designs for 2×m2×m3 to 3×m2×m3 factorials, when 3⩽m2⩽6 and m3⩾m2.
To explore the projection efficiency of a design, Tsai, et al [2000. Projective three-level main effects designs robust to model uncertainty.
This case study demonstrates different analysis methods suitable for the analysis of BWS data on aggregated and segment level when respondents perform complete or partial main effects designs.
In this paper, we incorporate the parameter model complexity into the supersaturated design analysis process, by assuming generalized linear models for a Bernoulli response, for analyzing main effects designs and discovering simultaneously the effects that are significant.
A criterion which incorporates experimenters' prior beliefs about the importance of each effect is introduced to compare orthogonal, or nearly orthogonal, main effects designs with robustness to interactions as a secondary consideration.
The main effects designs utilised ensured that across all profiles in the best-worst exercise the utility difference in every one of the pairs could be estimated.
The marginal model aggregates the choice data to estimate the attribute level utilities using a model that is simpler, at least for main effects designs like the one illustrated here.
We first constructed two matrices that each represented a main effects design and together represented the full factorial design (2 × 2 × 2 design).
We used the computer package SPEED (software designed to establish choice sets for DCEs [ 20]) for the pilot DCE to generate such an orthogonal main effects design.
45 In the first instance we estimated a D-efficient multinomial logit (MNL) fractional factorial main effects design, generating 36 choice sets using Ngene software.
These remainder clinics were randomized to four conditions within one of the fractional factorial main effects design (a subset of the larger 2 × 2 × 2 design) to maximize power for main effects estimates.
