THE APPLICATION OF ANALYSIS OF VARIANCE TO DIFFERENT YTTRIUM BARIUM COPPER OXIDE SUPERCONDUCTING TRANSITION TEMPERATURE MODELING

Extensive research has been conducted on a modeling approach that contributes to predicting the critical temperature of Yttrium barium copper oxide (YBCO) materials. Statistical significance of differences in modeling approaches requires studies that can reliably distinguish between systematic approach effects and errors resulting from modeling approach variation. In this work, we introduce analysis of variance (ANOVA) to assess the statistical significance of differences in modeling approach variation. Comparisons of obtained results with YBCO modeling approach variation data of support vector machine (SVM) and linear regression with natural logarithm transformation (LRNLT) were presented.