first-orderinteractionvariablesMultipleregressionThis study illustrated the procedure in selecting the best model in estimating the Electrical Conductivity (EC) levels based on the hydrochemistry properties and nature effecting factors using multiple regressions. The six independent variables and two dummy ...
The emphasis is put on criteria that are `cheap' to evaluate if first-order methods, such as gradient projection or the fast gradient method, are applied. We investigate three different criteria which are based either on the complexity results of first-order methods, a property of the gradient...
2). Table 4 presents the results of a logistic regression model predicting the odds of reporting having no sex in the last 30 days, adjusted for state and individual characteristics. At the individual level, having no sex in the last 30 days was significantly predicted not having a spouse ...
We explore the low levels of the structure of the continuous Weihrauch degrees of first-order problems. In particular, we show that there exists a minimal discontinuous first-order degree, namely that of A C C N extsf{ACC}_{\mathbb {N}} , without any determinacy assumptions. The same deg...
In this paper, we examine first and second order asymptotic theory for two estimators in a linear quantile model in the case where the response is observed multiple times at fixed covariate vectors x 1 ; Delta Delta Delta ; x k . The first estimator is the regression quantile estimator intro...
We are interested in nonlinear dynamical systems that can be modeled by the first order equation [Math Processing Error] (1) wherex(t) is the dynamical variable of the system andy(t) is a driving force, they will be referred to as the input and the response of the system, respectively....
Application of first-order and Monte Carlo analysis in watershed water quality models To achieve effective environmental control, it is important to develop methodologies for dealing with uncertainties in model simulation of pollution behavi... AG Bobba,VP Singh,L Bengtsson - 《Water Resources Managemen...
The final multiple regression model explains 35.5% of the variance of student achievement in the first year of studies at WU. The A-level grades turn out to be the strongest predictor of student achievement at WU, followed by the students' ability to cope with their fear of failing at ...
view in article in order to assess the impact of multiple variables at once, a regression analysis was used to identify statistically significant and practically meaningful adoption factors that contributed to social business maturity. view in article linkedin’s social selling index assesses a company...
Overall, we present a breakthrough dental age estimation method with high accuracy, as patient-wise estimation accuracy was 89.05 to 90.27%, which automatically looks at multiple features in one of the first molar X-ray images. The AI-based CNN model with majority voting proposed here can be ...