When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

We consider two approaches to robust estimation for the Box-Cox power-transformation model. One approach maximizes weighted, modified likelihoods. A second approach ...

Peter B. Imrey, Gary G. Koch, Maura E. Stokes, John N. Darroch, Daniel H. Freeman, Jr. and H. Dennis Tolley The literature of log linear models and logistic regression is surveyed from a contemporary ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...