The Impact of Missing Values on the Reliability Measures in a Linear Model

Schaffrin, B. and Toutenburg, Helge (1998): The Impact of Missing Values on the Reliability Measures in a Linear Model. Collaborative Research Center 386, Discussion Paper 125

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.

• Item Type: Paper (Research Paper)
• Collections: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics