FORECASTING MODELS OF TOURISM PASSENGER BASED ON THE GREY THEORY——A CASE STUDY OF THE INTERNATIONAL TOURISM PASSENGER SOURCE OF CHINA
比较了线性回归和灰色GM(1,1)模型在中国国际旅游客源预测中的精度，发现灰色模型更适用，对旅游规划有参考价值。
It is useful to exactly forecast the tourism passenger source in tourism layout and management. The linear regression model is often used in passenger source in tourism layout. But its precision is worth discussion. Quantitative analysis was made to the two forecast models as a case study of the international tourism passenger source of China. The research suggests that the linear regression model has the lowest precision in two models. The Grey model of GM(1,1)is suitable to the data of the international tourism passenger source of China. The research is beneficial to tourism forecast.