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THE OUTLIER SAMPLE EFFECTS ON MULTIVARIATE STATISTICAL DATA PROCESSING IN GEOCHEMICAL STREAM SEDIMENT SURVEY (MOGHANGEGH REGION, NW OF IRAN)

A. Habibnia, A. Hezarkhani, M. Ahadi

First published: 2007DOI pendingView metrics

Abstract

In geochemical stream sediment surveys in Moghangegh Region in NW of Iran, sheet 1:50,000, 152 samples were collected and after analyze and processing of data, it is revealed that Yb, Sc, Ni, Li, Eu, Cd, Co, As contents in one sample is far higher than other samples. After detecting this sample as the outlier sample, affect of this sample was investigated in multivariate statistical data processing to investigate destructive effects of outlier sample existence in geochemical exploration. Pearson and spearman correlation coefficient methods and cluster analysis were used for multivariate studies and Scatter Plot of some elements together with their regression lines are given in case of 152 and 151 samples and compare the results. After investigation of multivariate statistical data processing results, it is revealed that results of existence of outlier samples may appear as these relations between elements: 1- True relation between two elements, which have no outlier frequency in the outlier sample. 2- False relation between two elements which one of them has outlier frequency in the outlier sample. 3- Complete false relation between two elements which both have outlier frequency in the outlier sample. Keywords: outlier sample, multivariate statistical, geochemical stream sediment.

Publication details

Title
THE OUTLIER SAMPLE EFFECTS ON MULTIVARIATE STATISTICAL DATA PROCESSING IN GEOCHEMICAL STREAM SEDIMENT SURVEY (MOGHANGEGH REGION, NW OF IRAN)
Authors
A. Habibnia, A. Hezarkhani, M. Ahadi
Proceedings
7th International Scientific Conference - SGEM2007
Publisher
SGEM Scientific GeoConference
Year
2007
Pages
Not available yet
ISSN
1314-2704
ISBN
954-918181-2
Language
en
Publication type
Conference Paper
Keywords
geochemical stream sedimentmultivariate statisticaloutlier sample
References6

  1. Clarke, B.R., Heathcote, C.R., 1994. Robust estimation of k-component univariate normal mixtures. Ann. Inst. Statist. Math. 46, 83–93

  2. HasanyPak, A.A. (2002) Exploration Data Analysis, Iran, Tehran. P.987

  3. Porjabbar, A. (2005).Heavy Minerals. Department of mining, metallurgy and petroleum, Amirkabir University of Technology, Tehran-Iran

  4. Robert, C. Szava-Kovats. (2002), Outlier-resistant errors-in-variables regression: anomaly recognition and grain-size correction in stream sediments. J. Applied Geochemistry. No.17, pp.1149-1157 Rousseeuw,P.J., Leroy,A.,1987. Robust Regression and Outlier Detection. John Wiley & Sons,Inc,New York.

  5. Size, W.B. (1986), Use and Abuse of Statistical Methods in the Earth sciences, New

  6. Swan, A.R.H., Sndilands, M.and Mccabe, p. (1995), Introduction to Geological Data Analysis. Backwill Science, p.446.

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