Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse distribution. The IGR was formed from Generalized Linear Models (GLM). This study aims to with applied factors influencing infant mortality cases of provinces in Indonesia. Estimation parameters employed by Maximum Likelihood (MLE) and Fisher scoring methods. Ratio Test ...

The complexity underlying real-world systems implies that standard statistical hypothesis testing methods may not be adequate for these peculiar applications. Specifically, we show the likelihood-ratio test's null-distribution needs to modified accommodate found in multi-edge network data. When working with independent observations, p-values of tests are approximated using a $\chi^2$ distributi...