2016
DOI: 10.1016/j.flowmeasinst.2016.02.002
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Comparison of different approaches for detection and treatment of outliers in meter proving factors determination

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Cited by 16 publications
(11 citation statements)
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“…The data is cleaned by first removing missing and null values from dataset [22], then all outliers are removed according to the acceptable range defined in [23]. Eq.…”
Section: Feature Engineeringmentioning
confidence: 99%
“…The data is cleaned by first removing missing and null values from dataset [22], then all outliers are removed according to the acceptable range defined in [23]. Eq.…”
Section: Feature Engineeringmentioning
confidence: 99%
“…Data from Table 1 were treated, and they do not follow a normal distribution based on the Kolmogorov–Smirnov test; in addition, several outliers are met [ 46 ].…”
Section: Resultsmentioning
confidence: 99%
“…[24]). The values of a single characteristic are found to be outliers if located outside the following interval [27,28]:…”
Section: Methodsmentioning
confidence: 99%