Abstract -- To understand and predict the rainfall associated with a typhoon is one of the most concerned issues in both the operational weather forecasting and the theoretical study. In this project, we demonstrate several statistical models for the typhoon rainfalls associated with other related weather information based on data collected by the Central Weather Bureau. The statistical models considered include regression, logistic regression, Bayesian analysis for binary response as well as a mixed model. The results indicate that all the above models perform better than the currently used average method. On the other hand, it shows the above models deserve further study.