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Hace 11 horas · Pearson’s r was estimated from coefficients of determination of linear regressions (r2) between LULC and diversity metrics, which were obtained by taking their square before calculating Z. (Lajeunesse 2013).
Hace 11 horas · Compared to traditional intelligent algorithms, the four-quarter averages of the RMSE, MAE and R2 of MVMO-LSTM are improved by 0.1147–0.7989 KW, 0.09799–0.6937 KW, ... Mahmud, A. Isolated area load forecasting using linear regression analysis: Practical approach. Energy Power Eng. 2011, 3, 547–550.
Hace 11 horas · An assessment was conducted to investigate the relationship between CHR and UV using a linear regression model and Pearson’s correlation coefficient. It was found that there is a weak positive correlation between the two indices, which was statistically significant (Pearson correlation coefficient of 0.13, p = 0.01; adjusted R2 = 0.014, p = 0.02 for the linear regression model), Fig. 2 .
Hace 11 horas · Linear regression predicts the value of one variable based on another, while quadratic models modify variables. Log-regression models linearize variables and test the significance level between topological indices and molecular structures. The mathematical expressions for the linear, quadratic, and logarithmic regression models are as follows:
Hace 11 horas · For each session, we fit a linear regression (response = gain x target location + intercept) and thus a gain of ‘1’ indicates no bias. Gains <1 indicate undershooting.
Hace 11 horas · We can use these imaging biomarkers to optimize our decision-making in a clinical setting. For instance, for a patient with initially resectable HCC, a high tumor HAC > 0.029, and/or a low tumor PVC ≤ 0.386, the patient may have a high probability of developing HCC recurrence and worse OS after hepatectomy.
Hace 11 horas · • Applicable to non-linear time-varying controlled systems with input arXiv:2407.05976v1 [cs.AI] 8 Jul 2024 delays. ... ponents: linear, seasonal, cyclic, regressions, interventions, and errors. Effec-tive CPD methods must adapt to these changing conditions over the system’s
