Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Ordinal regression and classification methods form ... have addressed the challenges intrinsic to ordinal data by refining model architectures and loss functions. For instance, a novel approach ...

This study offers a comparative analysis of several ordinal activation functions that utilize four key cumulative link functions used in ordinal regression: logit (logistic distribution ... of this ...

31 Patient characteristics were age (eight ordinal categories); gender ... We first estimated multilevel linear regression models with a random intercept at the general practice level. We tested ...

An ordered logistic regression model suitable for analysing the severity of diabetes as an ordinal outcome was used ... involve individual expenses not covered by health insurance, presenting a ...

The improvement in the forecasts is due to the IITM significantly improving the existing weather forecast models as well as ... Until now we have been able to give block-level forecasts five ...

This included an introduction to two separate packages for creating logistic regression models. In this lab, you'll be investigating fitting logistic regressions with statsmodels. For your first foray ...

The brightest QLED and LCD TVs can get brighter than any OLED model, which is a particular advantage in bright rooms and with HDR content. In my tests, however, OLED TVs can still get plenty ...

Neither of these descriptions fully explains the heterogeneity of presentation. This review proposes, and provides evidence for, a continuum of pathology. This model of pathology allows rational ...