MML-EM Algorithm and Its Application on Mixed Distributions of Geochemical Data
详细信息
- 责任者：Liu Xiangchong (State Key Laboratory of Geological Processes and Mineral Resources ; China University of Geosciences ; Beijing 100083 ; China) ; Hou Cuixia
- 刊名：Earth Science
- 出版年：2011
- 卷期：36(2)
- 关键词：区域化探 ; regional geochemical exploration
- 页码：p.355-359
- 图表：3 illus., 6 tables, 14 refs.
- 分类号：1500
- 出版序号：20120458
- issnNo：ISSN1000-2383
- isbnNo：CN42-1233/P
摘要
When separating the mixed distributions of element abundance, probability graphs can only make a rough estimate of parameters. To solve this problem, the authors introduce a method of Minimum Message Length Criterion-Expectation-Maximization Algorithm (MML-EM). Simulation studies have shown that the method has higher accuracy than probability graphs in estimating the parameters of mixed distributions of element abundance. It is applied to dealing with the geochemical data of quartz vein, sampled from tungsten ore in Dajishan, Jiangxi Province. The research shows that the concentrations of W, Ta and Nb are mixed pairs of log-normal distributions, biomodel distributions.