Model building via linear regression models. Method of least squares ... Practical hand on experience in linear model building on real data sets. Prerequisite: recommended: Linear Algebra.

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Data Science, BSc in Financial ... students have taken at least a first course in linear ...

Investopedia / Michela Buttignol Nonlinear regression is a form of regression analysis in which data ... form of the linear regression equation. Likewise, it’s possible to use algebra to ...

“The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive ...