In this talk, we consider a special hypothesis test. First, we use it to analyze the common linear model and proposed a decision rule to control Type I error. Then we extend it to the generalized linear model (GLM). To be compatible with GLM, we propose a new definition with complex likelihood function and complete likelihood ratio test for GLM, which better fits the problem.