Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

In this article we propose a class of estimation functions for the vector of regression parameters in the Cox proportional hazards model with possibly time-dependent covariates by incorporating the ...

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

To overcome this shortcoming, standardized LM tests are suggested. Monte Carlo results show that the new tests possess good finite sample properties. An important observation made throughout this ...