Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

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 ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

This course is compulsory on the MPhil/PhD in Statistics. This course is available with permission as an outside option to students on other programmes where regulations permit. A knowledge of ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

Ann Kan's role as a senior statistical analyst at NUDACC allows her to blend a skillset that optimally supports multisite ...

How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...

Surveillance data collected on several hundred different infectious organisms over 20 years have revealed striking power relationships between their variance and mean in successive time periods. Such ...