2012•Advanced materials researchOpen access

Lead Price Forecasting Based on ARIMA Model

Lin Lu, Xin Ma, Ya Xuan Wang, Gen Bo Yu

Abstract

The time series ARIMA (3,1,4) model was established, which is taken into use of price forecasting. Then the forecasted price was applied to mining technical and economic index optimization study. Lead prices could be reliably predicted by time series ARIMA model, which had a high accuracy and the percentage of prediction error was 2.97% on average. It can solve the problems of the price data lag in the study of mine economic index optimization very well.

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Available abstract

Key concepts: Autoregressive integrated moving average, Index (typography), Lag, Econometrics, Time series, Series (stratigraphy), Lead time, Lead (geology)