Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...
Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...
WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about sending a ...