Inferences on the mean response in a log-regression model: the generalized variable approach

This paper proposes a novel approach for the confidence interval estimation and hypothesis testing of the mean response in a log-regression model using the concept of generalized variable. Simulation studies demonstrate that the proposed confidence intervals have satisfying coverage probabilities. The proposed approach can be simply carried out by a few simulation steps. Therefore, it is an ideal candidate for making inferences about the mean response in a log-regression model.