Furthermore, three related methods are used: multivariate analysis (using the statistical package SPSS), the principal components analysis1, factor and cluster analysis, in order to investigate the possible groups resulting, regarding the types of transport and also time groups.
Moreover, the paper studies the feasibility of using the multivariate statistical analysis of daily shop floor data as an appropriate solver tool for detailed production scheduling decision support system.
The study shows that the analysis of hydrochemical data using the multivariate statistical techniques such as principal component analysis and cluster analysis gives some information not available at first observation.
The putative effects of the health and aging variables were tested against the factors gender, site and age, using the multivariate statistical program PRIMER 6 together with PERMANOVA (Anderson, 2001; McArdle and Anderson, 2001; Anderson, 2005).
Using the multivariate statistical analysis, we found that the pathological T-stage, pathological N-stage and estrogen receptors are independent prognostic factors for the duration of breast cancer-specific survival of patients.
(d) Sole cluster 2. (e) Sole cluster 3. The concept of image frame analysis can be further extended to image sequences, which are perfectly suited for analysis using the same multivariate statistical methods.
CTES was shown to be significantly consistent within itself with P<0.05 using the Hotelling multivariate statistical test.
In order to see whether the existence of subgroups within the data could be verified statistically, we used the multivariate statistical techniques of principal component analysis (PCA) and k-nearest neighbor (k-NN) clustering analysis to quantitatively characterize differences and similarities between the HPLC-MS fingerprints of the E. arvense extracts.
Under similar experimental conditions, Doehlert matrix (DM) and central composite rotatable design (CCRD) were used as statistical multivariate methods in the optimization of the anodic oxidation processes.
In this light, to the aforementioned production planning process and fully interoperable, both with the PPC system and existing software package, the proposed approach has been developed on the basis of a custom-built DSS using statistical multivariate techniques.
