CALIBRATION FOR INVERSE GAUSSIAN REGRESSION

Inverse Gaussian regression models are useful for regression data where both variables are nonnegative and the variance of the dependent variable depends on the independent variable. Zero intercept inverse Gaussian regression models are presented with non-constant variance, constant ratio of variance to the mean and constant coefficient of variation. For purposes of calibration, the prediction band is used to give point and interval estimators for the independent variable. The results illustrated with a real data set.