摘要
矿产品价格预测是矿山投资项目的必要前提,也是矿山项目风险评价的重要依据.笔者以钼矿产品为例,采用系统性理论研究与实证性研究相结合的研究方法,定性分析与定量计算相结合,利用最小二乘法原理,建立了适合矿山改扩建投资项目的矿产品价格预测模型,在分析矿产品的历史价格的基础上,利用非线性拟合预测的方法来对矿产品近年来的价格进行预测.
Mineral price forecasting is the necessary premise of mining projects investment decision and important basis of risk evaluation.Regarding molybdenum ore as the subject,we set up a mineral price forecasting model fitting for the mining conversion and expansion with least squares method by adopting the following research technologies,such as systematic theory,empirical study,qualitative analysis and quantitative calculation.Based on the analysis of the historic mineral prices,we use the polynomial fitting way to predict the price of minerals in recent years.
出处
《有色金属科学与工程》
CAS
2011年第3期72-75,共4页
Nonferrous Metals Science and Engineering
关键词
风险评价
非线性回归
拟合
risk evaluation
nonlinear regression
fitting
