2019
DOI: 10.1007/s12517-018-4220-0
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Evaluation of nine USGS reference materials for quality control through Univariate Data Analysis System, UDASys3

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Cited by 15 publications
(14 citation statements)
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“…The presence of outliers in geochemical data can impact the accuracy of the interpretation, and considering the possible reasons is therefore an important consideration before going for any meaningful interpretations (Verma, , ). This is more relavent when there are several data points marked as outliers (Rosales‐Rivera, Díaz‐González, & Verma, ). Sometimes the outliers may be the indicators of a different climatic episodes (Pandarinath, ).…”
Section: Sampling and Analytical Methodsmentioning
confidence: 99%
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“…The presence of outliers in geochemical data can impact the accuracy of the interpretation, and considering the possible reasons is therefore an important consideration before going for any meaningful interpretations (Verma, , ). This is more relavent when there are several data points marked as outliers (Rosales‐Rivera, Díaz‐González, & Verma, ). Sometimes the outliers may be the indicators of a different climatic episodes (Pandarinath, ).…”
Section: Sampling and Analytical Methodsmentioning
confidence: 99%
“…Sometimes the outliers may be the indicators of a different climatic episodes (Pandarinath, ). The chemical composition data for the 27 surface acid rocks were analysed for outliers by applying the computer programme UDASys3.2 (Rosales‐Rivera et al, ). Several data points for the major element oxides, REE and the trace elements in various acid rocks were identified as outliers (Table S1).…”
Section: Sampling and Analytical Methodsmentioning
confidence: 99%
“…Both versions of a computer program UDASys (UDASys2 34 and UDASys3 35 ) apply recursive tests 41-43 with prior application of single-outlier discordancy tests, 29, 44, 45 all with new, precise, and accurate critical values. 34, 35, 46-49 The application of significance tests (F, t , and ANOVA) also requires the normality of the statistical samples, which can be achieved through discordancy tests from any of the 2 versions of UDASys, prior to the inference about similarities or differences between or among statistical samples. Thus, the discordancy tests can be applied to samples of sizes as large as 30,000 and significance tests to the number of sample groups as large as 30.…”
Section: Recent Advances In Statistical Handling Of Datamentioning
confidence: 99%
“…The main deficiency concerning the statistical treatment of these data seems to be the lack of application of modern discordancy tests 29-37 in the handling of univariate, bivariate, or multivariate data, because no commercial software is available for this purpose. However, appropriate software, such as UDASys2 (Univariate Data Analysis System version 2), 34 UDASys3 (Univariate Data Analysis System version 3), 35 BIDASys (Bivariate Data Analysis System), 36 and DOMuDaF (Discordant Outliers from Multivariate Data from the F test of w), 37 have been recently developed and published to facilitate these applications.…”
Section: Introductionmentioning
confidence: 99%
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