Analysis of this regression model (R2 = 0.33) revealed that neither weight nor height was a significant coefficient, contributing to the model (t = -1.4, p = 0.16 and t = -0.98, p = 0.33 for weight and height respectively).
The BIC is calculated using the sum of number of parameters over all models, because if the same parameter appeared in several equations, it would be with a different coefficient, contributing to increasing model complexity as penalized by the BIC.
(63) It is easy to see that at spatial infinity ((x=1)), all coefficients contribute to (62), while at event horizon only the first two terms remain, i.e. begin{aligned} {tilde{A}}(0)={a_{1}},qquad {tilde{B}}(0)={b_{1}}.
In high-speed wireless applications such as underwater acoustic (UWA) communications, ultrawide band (UWB) communications, and high-definition television (HDTV) systems, the discrete-time channel impulse response has a very large channel memory, but only a small number of significant channel coefficients contribute to the distortion of the transmitted signal.
For example, in case of PC1, genes with high positive loading coefficients contribute to the characteristic phenotypes and functions of SGs, and conversely, genes with high negative loading coefficients contribute to common characteristic phenotypes and functions of HaCaTs and KCs.
The ions with negative and positive coefficients contribute to the constructed model, negatively and positively, and are dominant in exponential and stationary phase, respectively.
In this paper, the virtue of uncertainty codependency is evaluated by the correlation coefficient matrix and contributed to optimize three TRANSCO concerned objectives.
In addition, weighted kappa has grossly underestimated disagreements by one category and put more emphasis on extreme category disagreements [6]; therefore, low prevalence of critically-ill and non-urgent patients has excluded the effect of extreme categories disagreement from calculated kappa coefficient and also contributed to current results either.
The point is that weighted kappa has grossly underestimated disagreements by one category and put more emphasis on extreme category disagreements; therefore, low prevalence of critically-ill and non-urgent patients has excluded the effect of extreme categories disagreement from calculated kappa coefficient and also contributed to significant overestimation.
This may have inflated the magnitude of the beta coefficient and thus contributed to the strong relationship between initiation and progression.
