地学前缘 ›› 2009, Vol. 16 ›› Issue (1): 373-380.

• 论文 • 上一篇    

多元线性回归和逐步回归分析在白石泉Cu-Ni硫化物矿床研究中的应用

  

  1. 1新疆大学 地质与勘查工程学院, 新疆 乌鲁木齐 830046
    2新疆维吾尔自治区地质矿产勘查开发局 第六地质大队, 新疆 哈密 839000
    3新疆维吾尔自治区地质矿产勘查开发局 第二地质大队, 新疆 喀什 844000

  • 出版日期:2009-02-02 发布日期:2009-02-02
  • 通讯作者: 汪立今
  • 作者简介:付勇(1984—),男,硕士研究生,矿产普查与勘探专业,主要研究方向为成因矿物学。E-mail: asd151400@163.com
  • 基金资助:

    国家自然科学基金项目(40862004);新疆高校科学研究重点项目(XJEDU2007I09)

The application of multivariate linear regression combined with stepwise regression analysis for CuNi sulfide deposit of Baishiquan

  1. 1Institute of Geological and Exploration Engineering,Xinjiang University, rümqi 830046, China
    2No 6 Geological Party of Xinjiang Bureau of Geology and Mineral Resources, Hami 839000, China
    3No 2 Geological Party of Xinjiang Bureau of Geology and Mineral Resources, Kashi 844000, China

  • Online:2009-02-02 Published:2009-02-02

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摘要：

新疆东天山的白石泉Cu-Ni硫化物矿床一直受到众多构造学家、岩石学家和矿床学家的关注,但是数学地质在此地的研究尚属空白。文中在系统的野外地质调查基础上,进行了系统采样和岩石地球化学分析,应用多元线性回归和逐步回归分析相结合的方法,借助SPSS数学统计软件系统的研究Cu-Ni变量与造岩元素变量的关系,建立Cu-Ni变量与其他变量的回归方程,验证与解释白石泉Cu-Ni硫化物矿床的成因、岩浆来源等问题,对指导找矿勘探有重要作用,对应用数学地质方法有指引作用。

关键词: 白石泉;Cu-Ni硫化物矿床;多元线性回归;逐步回归分析;SPSS

Abstract:

 Baishiquan Cu-Ni sulfide deposits located in the eastern Tianshan of Xinjiang have attracted the attention of many tectonists, petrologists and ore deposit experts for a long time. However, the mathematical study of the geology of this area is still lacking. On the basis of geological field survey, we have made systematic sampling and geochemical analyses of the rocks, and  systematically studied the relationship between the Cu-Ni variable and the rockforming element variables by the method of multi-variate linear regression combined with stepwise regression analysis, using SPSS statistical software. We established the variable regression equation of Cu-Ni variable and other variables, tested and explained the causes of the formation of the Cu-Ni sulfide deposit of Baishiquan and the magma source and so on. It is of significance for guiding the ore exploration and the application of mathematical methods to geology.

Key words:

 Baishiquan; CuNi sulfide deposits; multivariate linear regression; stepwise regression analysis; SPSS

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