Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...

Motivated by regression analysis for microbiome compositional data, this article considers generalized linear regression analysis with compositional covariates, where a group of linear constraints on ...

Rank leverage occurs when some linear combination of the parameters in a regression model is almost entirely estimated by a small subset of observations, a phenomenon that is closely related to the ...

This course is compulsory on the BSc in Financial Mathematics and Statistics and BSc in Statistics with Finance. This course is available on the BSc in Actuarial Science, BSc in Business Mathematics ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

This course is compulsory on the BSc in Statistics with Finance. This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics and BSc in Mathematics with ...