Sentence examples for using the full factorial from inspiring English sources
Experiments were designed using the full factorial design method.
By using the full factorial design, the optimum values of the physical properties were evaluated.
The new analytical method was developed by means of a statistical sensitivity analysis applied to the main parameters influencing the recording, using the full factorial design method combined with the Yates algorithm and the steepest ascent optimization procedure.
A numerical model was established in ABAQUS and verified to study the interfacial effect, then the sensitivity analysis of three types of parameters was undertaken to figure out a sensitivity ranking using the full factorial design method.
The five nutrients used to amend the medium were preliminary selected from 15 medium components based on the results of the Plackett Burman design experiments and subsequent screening process using the full factorial design experiments was performed.
In whole-brain analyses, we used a voxel-wise analysis of covariance (ANCOVA) in which sex difference was a group factor (using the full factorial option of SPM8).
To illustrate the differences in regional gray and white matter volumes in three-group and two-group comparisons, we used the full factorial model in SPM5.
The 10 set of experimental data points, 5 for each pollutant, statistically investigated in the continuous column studies using the full-factorial design, were divided into training (8 × 8) and testing (2 × 8) set.
Quantitative analysis is applied using the full two-level factorial experimental design method.
The experimental planning was based on eight assays using the 23 full factorial design combining three important variables for PDT: photosensitizer concentrations, incubation time of cells in HY solutions and employed light dose (λ = 590 ± 10 nm).
Instead of using the inefficient full factorial DOE, a response surface is constructed initially based on the data on the axial experimental points and updated successively by adding one more experimental point selected using an influence index, until the probability is converged.
