The implications of thermal demagnetization with respect to the observation of interaction effects in Henkel plots are discussed within the framework of a scalar moving Preisach model. The Preisach ...

Fieldwork in archaeology helped me understand emotional boundaries, pacing, and the layered process of living with bipolar ...

While the Standard Model (SM) describes all known fundamental particles and many of the interactions between them, it fails ...

The results clearly demonstrate that linear mixed model-based approaches, especially the spatial + G × E analysis excel in capturing complex spatial plot variation and G × E effects in MET data by ...

• The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.

Introduction. Analysis of variance (ANOVA) is one of the most applied statistical models in agronomic experiments, including seed science. Based on a normal linear model, the method emphasizes the ...

In this paper, a new approach for analyzing the degree of the difficulty in estimating parameters is proposed. The approach targets at linear continuous-time models with physically-meaningful ...

Now, we are ready to use the scikit-plot for plotting the cumulative gain using the metrics. Cumulative gain helps in measuring the ranking quality. Let’s plot it for our model. import ...