Introduces methods, theory and applications of statistical models, from linear models (simple and multiple linear regression), to hierarchical linear models. Topics such as estimation, residual ...

The School of Mathematics and Statistics is recognized for its contributions to research and applications of mathematical and statistical science, and it’s also known for expertise in mathematical and ...

Statistical modeling, a simplified, mathematically formalized way to approximate reality and then make predictions based on that approximation, has been around in some form since the 1970s, but it is ...

Friedli, S. and Velenik, Y. Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction Cambridge: Cambridge University Press, 2017. ISBN: 978-1-107-18482-4 DOI: ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Mathematical models have become an integral part of cancer biology. They are useful tools for deriving a mechanistic understanding of dynamic processes in cancer. The somatic evolutionary process, ...