1998
DOI: 10.1016/s0883-2927(97)00095-4
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Anomaly threshold estimation and data normalization using EDA statistics: application to lithogeochemical exploration in Lower Cretaceous Zn–Pb carbonate-hosted deposits, Northern Spain

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Cited by 24 publications
(12 citation statements)
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“…The soil CO 2 and H 2 S flux classes (statistical levels) were obtained by graphical investigation of the normal probability plot of the flux data (Yusta et al, 1998). Soil CO 2 fluxes can be produced both by biological Acocella & Funiciello, 2006) and location of CO 2 -rich gas discharges from Albani Hills (black stars), from Mts.…”
Section: Materials and Methods For Gas Investigationsmentioning
confidence: 99%
“…The soil CO 2 and H 2 S flux classes (statistical levels) were obtained by graphical investigation of the normal probability plot of the flux data (Yusta et al, 1998). Soil CO 2 fluxes can be produced both by biological Acocella & Funiciello, 2006) and location of CO 2 -rich gas discharges from Albani Hills (black stars), from Mts.…”
Section: Materials and Methods For Gas Investigationsmentioning
confidence: 99%
“…Selecting a suitable method to discriminate background and anomaly values is the first and most important step in mineral exploration [6]. Because of large data sets in geochemical exploration projects, it is crucial to identify geochemical background and potential analytical and sampling errors [20][21][22].…”
Section: Anomaly Recognition Methodsmentioning
confidence: 99%
“…Several procedures can be used to identify data outliers. The calculation of mean and standard deviation [23], cumulative distribution functions (CDF) [24,25] and Exploratory Data Analysis (EDA) methods [6,[26][27][28][29][30][31] are the most recognized statistical methods.…”
Section: Anomaly Recognition Methodsmentioning
confidence: 99%
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