We investigate linear approximation (LA) confidence intervals for functions g(θ) of the parameters θ in a nonlinear regression model. These intervals are almost universally used and generally perform ...

In this article, we consider a general multivariate nonlinear regression setting in which the marginal mean and variance-covariance structure share a common set of regression parameters. Estimation is ...

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 ...