Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable.

Project (55%) and project (35%) in the ST Week 2. Coursework (10%) in the WT Week 6. 10%: A group work mini-project to be handed in at the end of reading week (LT week 8) 55%: A group work multiple ...

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, ...

The developments in linear regression methodology that have taken place during the 25-year history of Technometrics are summarized. Major topics covered are variable selection, biased estimation, ...

In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...