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- W2013947185 abstract "AbstractConsidering not only one variable – the distance – but also the pressure, dry and wet temperatures for each station respectively (for the above distance), an approach to the ‘identification of outliers’ problem in a sample of E.D.M. data is attempted with the help of an existing technique based on multivariate analysis.Several cases in this sample of measurements are examined and, by changing the number and/or the type of variables, the outliers obtained are generally different in each case.Although this paper reflects our first step in this direction, we think the method could be a useful tool (even more realistic) for the analysis of the behaviour of distance measurements due to the variation of pressure, temperature, humidity or any combination of these. Other fields also, such as the weather quality problem and E.D.M. or the influence of meteorology on geodetic refraction or the refractive index, are also considered interesting subjects to be investigated with the help of such a technique." @default.
- W2013947185 created "2016-06-24" @default.
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- W2013947185 date "1987-01-01" @default.
- W2013947185 modified "2023-09-26" @default.
- W2013947185 title "THE APPLICATION OF A STATISTICAL TECHNIQUE FOR IDENTIFICATION OF OUTLIERS IN MULTIVARIATE E.D.M. DATA" @default.
- W2013947185 cites W2049058890 @default.
- W2013947185 doi "https://doi.org/10.1179/sre.1987.29.223.13" @default.
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