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, ...

The problem of testing for the location of a subset of the parameters entering the response function of a nonlinear regression model is considered. Two test statistics--the likelihood ratio test ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...