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The combined data sets were first analyzed collectively with a multiple analysis of variance (MANOVA).
The data were statistically analyzed using the multiple analysis of variance (ANOVA) by SPSS (16.0 version).
Multiple analysis of covariance reveals the effectiveness of each dimension and interactions among them.
A multiple analysis of a defective nitrided case has been used to investigate different parts of the over layer region.
The overall multiple analysis of variance was not significant, indicating that there was no overall difference among the three groups.
A multiple analysis of variance was performed and least-squares difference post-hoc test utilized to determine where differences occurred.
As a result the initial problem for infinite plane is solved by multiple analysis of the repetitive periodicity cell.
Mean comparison and multiple analysis of variance (MANOVA) reveal that bitumen grade significantly affects CSS, whilst content and ageing of RAP would have insignificant effect on CSS.
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Data were analyzed by multiple way analysis of variance and both simple and multiple regression.
For multiple comparisons, analysis of variance by the ranks was performed and multiple comparisons were performed using the Dunn method.
Multiple regression analysis of the experimental data provided the parameters of the equation.
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