Robust Statistics and EDA Technique for Identification of the Geochemical Anomalies
详细信息
- 责任者：Nguyen Tien Thanh (Faculty of International Education ; China University of Geosciences ; Wuhan 430074 ; China) ; Liu Xiuguo
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2013
- 卷期：35(3)
- 关键词：稳健统计学 ; robust statistics ; 地球化学异常下限 ; geochemical threshold
- 页码：p.307-313
- 图表：illus., 1 table, 30 refs.
- 分类号：1500
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
When geochemical data are not normally or log-normally distributed and transformed data do not approach normal distribution,it is therefore difficult to use traditional methods to detect anomalies effectively.This paper shows an example on the robust statistics and Exploratory Data Analysis(EDA) to identify geochemical anomalies in a specific area.These methods are simple,"robust" and without requirement of the data to approach any distribution.By comparing with traditional methods,the merit and demerit of different methods were discussed.The results show that,using robust statistics and EDA to delineate geochemical anomalies accords with objective reality,large anomaly scopes,and have a good agreement with known deposits(occurrences).
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