Research on the Prediction of the Nuclear Weapons Based on Gray Predictive Model and Regression Model

Gray predictive model is a widely used predictive analysis method, which can effectively deal with the situation of less information and incomplete data. Compared with the traditional statistical prediction model, gray prediction model has many advantages. In view of the unique advantages of the gray prediction model, this paper combines it with the regression model to predict the future trend of the number of nuclear weapons in various countries. First, the time series analysis is used to explore the inherent law of the changes in the number of nuclear weapons and to understand the characteristics of their development. After that, the regression model and the gray difference prediction model are used to determine the fitting relationship between time and the number of nuclear weapons. After the significance test of the fitting relationship, the result shows that the P value is 0.000, which reaches the significant level, indicating that the fitting effect of the prediction model is good. This research not only gives full play to the advantages of the gray forecasting model, but also combines it with the traditional regression analysis method to form a novel time series forecasting analysis framework.