Estimation of linear models with missing data: The role of stochastic linear constraints

Toutenburg, Helge und Shalabh (2001): Estimation of linear models with missing data: The role of stochastic linear constraints. Sonderforschungsbereich 386, Discussion Paper 239

Abstract

Assuming the nonavailability of some observations and the availability of some stochastic linear constraints connecting the coefficients in a linear regression, the technique of mixed regression estimation is considered and a set of five unbiased estimators for the vector of coefficeints is presented. They are compared with respect to the criterion of variance covariance matrix and conditions are obtained for the superiority of one estimator over the other.

• Dokumententyp: Paper
• Fakultät: Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386 ; Sonderforschungsbereiche > Sonderforschungsbereich 386
• Themengebiete: 500 Naturwissenschaften und Mathematik > 510 Mathematik
• Sprache: Englisch