To estimate correlation, multiple correlation coefficients were applied.
Multiple regression coefficients were employed by applying the least-squares technology [33] to predict the linear, quadratic polynomial models and also interactive effects between tested parameters for response function.
An alternative to using multiple kinship coefficients is the use of multiple gametic relationships.
In 66 of the 75 families we studied, the difference between "PNI-SNG-Z-score" bilinear multiple correlation coefficients and "PNI-SNG-RMSD" bilinear multiple correlation coefficients is less than 0.1.
Although for most of the families studied, the bilinear correlation of PNI and SNG versus RMSD is statistically significant, the bilinear multiple correlation coefficients are still highly varied among the families.
The purpose of this report is to identify the conflict that arises when multiple change coefficients are applied to the same patient sample.
The solution to the expressed conundrum has often been the application of a "shotgun analysis" where multiple change coefficients are applied to a common dataset [ 2, 4, 5, 9- 14].
Besides, multiple vectors of regression coefficients were simulated, which were used to transform the simulated log(EMI) maps.
In [21], the absolute stability of Lurie indirect control systems and large-scale systems with multiple operators and unbounded coefficients were studied.
For the multiple regression analysis, model coefficients were averaged over the 10 data sets by using Rubin's rules to produce SEs, which represented the uncertainty in the estimates due to the missing data (12).
