This study explores a method for discovering governing equations from data using sparse identification of nonlinear dynamical systems.

In recent years, generalized linear and nonlinear mixed-effects models have proved to be powerful tools for the analysis of unbalanced longitudinal data. To date, much of the work has focused on ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.