Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

This course is compulsory on the MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available on the MSc in Data Science, MSc in Health Data ...

Appropriate selection of an interpolation method to apply is a key aspect of the current work. However, the issue is two-fold insofar as there is an ideal situation and a practical situation. Ideally, ...

Wind Engineering, Vol. 39, No. 3 (2015), pp. 271-298 (28 pages) ABSTRACT When developing a wind farm, it is very important to accurately define the wind resource distribution across the project area ...

BST 3000: Introduction to Statistical Computing; BST 5030: Statistical Programming and Study Planning: SAS; BST 5100: Introduction to General Linear Modeling; PUBH 5010: Mission and Practice of Global ...

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...