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I.

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7th International Scientific Conference - SGEM2007
Publication

APPLICATION MSWR REGRESSION IN DETERMINING Pb AND Zn ANOMALIES IN MOGHANJEGH, NW IRAN AND COMPARE ITS RESULTS ITH CLASSIC REGRESSION TECHNIQUES

(SGEM Scientific GeoConference, 2007, A. Habibnia, A. Hezarkhani)

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Regression analysis is a well-established method to correct for grain size differences in suites of sediments. However, distortion caused by the presence of outliers and imprecision in both variables can hinder many common regression models from performing adequately. Median sum of weighted residuals (MSWR) regression is strongly outlier-resistant and accounts for imprecision in both variables for each member of a dataset. In a case study of Ni and Pb normalization for a suite of stream sediments in NW Iran, the a...

Exploration and Mining2007
7th International Scientific Conference - SGEM2007
Publication

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

(SGEM Scientific GeoConference, 2007, A. Habibnia, A. Hezarkhani, M. Ahadi)

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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 corre...

Exploration and Mining2007
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