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The Impact of Missing Values on the ReliabilityMeasures in a Linear

Reliability measures in linear models are used in geodetic science and elsewhere to quantify the potential to detect outliers and to suppress their impact on the regression estimates. Here we shall study the eeect of missing values on these reliability measures with the idea that, under a proper design, they should not change drastically when such a situation occurs.