Sentence examples for procedure general linear from inspiring English sources

The effects of the diet on the Shannon-Weaver index and on the productive parameters were analyzed by means of the SAS GLM procedure (general linear model).

For simple and multiple regression analyses the SAS procedure General Linear Model, a linear regression method not requiring normally distributed data and providing regression as well as unbalanced anova analyses, was used for univariate and multivariate analyses.

Least square means for the number of connections across the levels of the various class variables were obtained from fitting linear models using the Procedure GLM (General Linear Models) of SAS version 9.1.3 (SAS Institute Inc., Cary, NC, USA).

Mite density and the densities of the most abundant species, occurring in at least five fallows, were analyzed with the procedure GLM (General Linear Model) of the statistical software SAS 9.1 according to a design with habitat age and plant species as factors, an interaction term (age × plant) and site as random effect nested within habitat age.

Data were subjected to analysis of variance procedures using the general linear models procedure of SAS SAS Inst.., Cary, NC, USA) appropriate for a factorial experimental design to determine the effects of soil type and VC rate on tomato growth response variables.

That is, the low bandwidth sequence detected greater numbers of activated voxels with lower cluster average BOLD signal (e.g., low bandwidth detected 1.4 times more voxels, with average BOLD signal 30% lower compared to high bandwidth for P = 0.05 (corrected) with the 3rd preprocessing procedure using the general linear model).

Statistical analysis was performed using BrainVoyager QX with a procedure based on general linear modeling.

The LMM procedure expands the general linear model so that the data are permitted to exhibit correlated and nonconstant variability.

This was conducted using standard procedures using the general linear model approach as implemented in SPM5.

That is, LMM correctly models correlated errors, whereas procedures in the general linear model family usually do not [ 6, 7].

The experimental data were analysed using a non-linear regression procedure for temperature effects and a general linear model procedure for tissue zone difference or the effects of storage treatments.