Sentence examples for screening of variables from inspiring English sources

The optimization exercise was done using Face centered cubic design (FCCD) after screening of variables by L8 Taguchi orthogonal array design.

A Plackett Burman design was performed for screening of variables in order to determine the significant variables affecting the extraction efficiency.

Based on the screening of variables by 2-level Plackett Burman design, full-factorial central composite design (CCD) was developed for variables significantly affecting biomass production and consisted of five levels: the low and high levels (−1 and +1), central points (0) and star points with α ± 1.68, giving twenty combinations of cultivation parameters as shown in Table 2.

Statistical significance was defined as p<0.05, two sided, except for the reduction of the cognitive battery in which the statistical significance was defined as p<0.25; the use of this more liberal significance level is advocated during screening of variables for inclusion in subsequent analyses using univariable analyses [45].

Initial screening of variables is, therefore, a crucial step in any pattern identification task.

The screening of variables was accomplished using a 25 1 fractional factorial design.

A two-level full factorial design was employed for the screening of the variables and a four-variables Doehlert design was applied for full optimization of the procedure.

Continuous predictors are summarized in Table 2. a Only farms with complete data for all variables are included b Variables are highly correlated (τb ≥ 0.8) a Only farms with complete data for all variables are included Initial screening of categorical variables consisted of identifying those that were highly correlated with each other (Kendall's τb ≥ 0.8) (Table 1).

A Plackett Burman saturated design was applied for screening optimization of variables influencing the ultrasound-assisted extraction of V and Ni from shellfish.

In an event-related paradigm, a series of checkerboards was presented, each for 2 s, reversing in contrast at 8 Hz (according to Ozus et al., 2001) followed by an inter-stimulus interval (ISI) of a uniform grey colour screen of variable duration (ISI = 4 9 s, average: 6.5 s).

The Plackett Burman design is a useful and frequently applied tool for screening of independent variables that pose significant influence on the dependent variable.