On the Impact of Missing Values on the Reliability Measures in a Linear Model
B. Schaffrin, H. Toutenburg, and Shalabh (2003). On the Impact of Missing Values on the Reliability Measures in a Linear Model . Journal of Statistical Research, Vol. 37, No. 2, pp. 251-260.
Abstract
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 effect 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.
