Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Mathematical modelling is an essential tool in systems biology. To ensure the accuracy of mathematical models, model parameters must be estimated using experimental data, a process called regression.

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 linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

How data mining, regression analysis, machine learning (ML), and the democratization of data intelligence and visualization tools are changing the way we do business. Organizations use predictive ...

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 ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 20, No. 2 (Jun., 1992), pp. 171-185 (15 pages) A method for nonparametric estimation of density based on a randomly ...

The Annals of Statistics, Vol. 28, No. 5 (Oct., 2000), pp. 1245-1278 (34 pages) The interval mapping method has been shown to be a powerful tool for mapping QTL. However, it is still a challenge to ...