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The accurate and reliable statistics are the foundation to grasp the operation of the economy and make scientific decisions. This paper is on the basis of the characteristics of the change of the time series data itself, combined with the characteristics of the grey forecasting model, regression combined model and the double exponential smoothing model, build the combined forecasting model based on the minimum error absolute value sum. Prediction is made on GDP data by the application of the model, and the prediction value obtained represents the "True value", and then from the angle of the abnormal value to analyze the accuracy of the GDP data of China, and the results show that the combined forecasting model is of relatively high practical value in the accuracy test of statistical data, and is worth further study.

Statistical Data Combined Forecasting Model Based on Optimal Estimation of Error Value