Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

Ready to analyze Google's search algorithms and learn all the secrets of ranking? Here's what you will need to do it correctly. That (rough) question helped to determine the path of my career 10+ ...

This is a preview. Log in through your library . Abstract Osborne (1975) introduces a modified Prony algorithm for fitting sum of exponential to the real data sets. Smyth (1985) and Osborne and Smyth ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Yana Yelina in her role as ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...