Because the correlation coefficient simply measures the relationship between two traits, it does not show the relative value of each attribute. The current study employed path coefficient analysis approaches to evaluate the relationships and effect of significant yield contributing components on the yield ...
Random Coefficient Models. In: Lovric M, editor. International Encyclopedia of Statistical Science. Springer; 2011. p. 1164–5. https://doi.org/10.1007/978-3-642-04898-2_471. Little RJA, Rubin DB. Statistical analysis with missing data, 3rd Edition | Wiley. Wiley.com. https://www.wiley...
The mean, range, phenotypic, genotypic and environmental variance, genotypic and phenotypic coefficient of variation, heritability in broad sense and genetic advance were calculated to differentiate the contribution made by each parameter in the final seed yield. The maximum value of phenotypic ...
For small values of the product of the gain coefficient (G) by the plasma length (L), say, for G· L < 13–14 in the case of neon-like plasma lasers, the laser output grows exponentially against L. At larger gain factors (G· L> 15) the fast depopulation of the laser upper-leve...
Our model is trained using the manual annotations of the first expert to obtain the Dice coefficient values. The results reveal that our model outperforms both the first and second experts, achieving the highest Dice coefficient value, as depicted in Fig. 8. This comparison highlights that our ...
Relatively low values of the evaporation coefficient ρ result in fast convergence, leading the ants to lose interest in exploring the edges of the graph and rely on their initial responses. In contrast, assuming a relatively high value of ρ leads to a very slow convergence process, while, ...
where \(\sigma \) is the penalty coefficient, and \(R_{\mathrm{obs}}^j\) can be calculated as follows: $$\begin{aligned} R_{\mathrm{obs}}^j = \left\{ \begin{array}{ll} 0 &{}\quad \text{ if } \ d_j \ge \delta _{\mathrm{obs}}^j \\ \dfrac{1}{d_j} - \dfrac{...
We introduce a dually-weighted multi-matrix model that for a suitable choice of weights reproduce two-dimensional Causal Dynamical Triangulations (CDT) coupled to the Ising model. When Ising degrees of freedom are removed, this model corresponds to the CDT-matrix model introduced by Benedetti and ...
Finally, we calculated the Pearson correlation coefficient between the two offsets in the arena and the track, and we tested whether the Z-transformed value was significantly different from 0 using a one-sample t-test. Grid cell directional firing in the track: For each cell we analyzed the ...
Parameter \(\alpha\) refers to the cost coefficient, which is used to adjust the weight after normalization. Facilitating effective UAV path planning mandates a nuanced assessment of an array of constraints, encompassing a spectrum of influential factors such as smoothness, acceleration, obstacles, ...