Examination of the (sample) residuals resulting from the regression analysis can indicate failures of assumptions 1, 3, and 4. Such failures are not necessarily a bad thing: They can point the way to ...

Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...

This is a preview. Log in through your library . Abstract In many applications of instrumental-variables regression, researchers seek to defend the plausibility of a ...

A semi-parametric generalization of the proportional hazards regression model is defined, whereby the hazard functions can cross for different values of the covariates. In the two-sample comparison, ...