Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
Gophen, M. and Peres, M. (2026) Chill Hours Record: A Sensitive Method for Climate Change Indication. Open Journal of Modern ...
Abstract: In this paper, a multivariate linear regression model is built for prediction based on SBPE Dataset by drawing heat maps to select relevant features. All 80% of the data is used as a ...
Predictors of Opioid Use among Active-Duty Soldiers Following Postoperative Prescription. Pain Studies and Treatment, 14, ...
14d
Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever
Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...
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