Usage of multivariate regression in geochemical explorations(Goudin sheet)
Category | Economic geology & mineral exploration |
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Group | GSI.IR |
Location | The 25 Symposium of Geosciences |
Author | K.Pazand - M.Yazdani pour- A.Maleki |
Holding Date | 30 June 2007 |
Abstract:
Multivariate statistical methods can present a more precision analysis with considering the primary requirement hypothesis and enough precision. Using these methods provides possibility of study about variation of several variants. One of these methods is multivariate regression that has simplicity of its algebra and understandable interpretation. This type is a useful method for analyzing multivariate data set, especially some elements such as Au. In this study, 170 samples were taken from stream sediments of Goudin sheet and were geochemically analyzed for 44 elements. Received data set were analyzed with multivariate regression after the primary statistic process. The results showed the high efficiency of this method to determine paragenesis elements and interpret local nonhomogenouses.
Key words: Multivariate regression, Stream sediments, Goudin