A prediction on electronic waste resource with time series model

Time series analysis is commonly used in economics and management research. It depicts the orderliness of the historical data changes over time with proper models, and analyzes and forecast the value of variables. Based on three modes of ARMA modeling, this paper suggests a method to predict the potential of resource of electronic waste with the data of inventory of electronic waste. With quantitative analysis, this method provides the management a new approach in solving the problems related to the prediction of electronic waster resource.