The complete raw data of various variables were segregated and analyzed in Microsoft Excel under various headings. Then studied for their clinical significance and interrelationships. Statistical significance wa
Therefore, the stack voltage is selected as the output variable for regression analysis. A portion of the reconstructed degradation data for FC1 and FC2, processed as described in subsection 3.2.1, is presented in Fig. 9. Each result includes the stack voltage and a corresponding operational ...
analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, ...
For groundwater applications, the trend of WQI development in the category of emerging-technologies, has also grown. In this category, can be cited: multivariate statistics and regression models72; multivariate statistics, probability curves and GIS69; regression models73; fuzzy methodology and GIS74;...
Spinal tumours were not included in this analysis due to their absence in the sub-cohort. 3.7. Clinical Examination Findings and Pain and Pathology Two binary logistic regression models incorporating RCS for both age and weight were developed to capture the potential non-linear relationships with ...
Finally, multiple regression analysis revealed that fewer contact points, more extracted teeth, and the presence of surgical occlusion midline deviation negatively affected the treatment times in patients treated with the SFA (Table 3, Figure 3). As the number of contact points indicates the stability...