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Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
Journal of Exposure Science & Environmental ... with land-use and emission data to predict the spatial ... in Rome 1995–1996 by simple univariate linear regression models.
Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...
A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather.
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