Abstract
We compare two consistent estimators of the parameter vector beta of a general exponential family measurement error model with respect to their relative efficiency. The quasi score (QS) estimator uses the distribution of the regressor, the corrected score (CS) estimator does not make use of this distribution and is therefore more robust. However, if the regressor distribution is known, QS is asymptotically more efficient than CS. In some cases it is, in fact, even strictly more efficient, in the sense that the difference of the asymptotic covariance matrices of CS and QS is positive definite.
Dokumententyp: | Paper |
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Keywords: | Measurement errors, nonlinear regression, exponential family, corrected score, quasi score, asymptotic efficiency |
Fakultät: | Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386
Sonderforschungsbereiche > Sonderforschungsbereich 386 |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-1820-0 |
Sprache: | Englisch |
Dokumenten ID: | 1820 |
Datum der Veröffentlichung auf Open Access LMU: | 11. Apr. 2007 |
Letzte Änderungen: | 04. Nov. 2020, 12:45 |