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In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician...
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We investigate optimal bounded influence M-estimators in the general normal regression model with respect to different sensitivities. As a result, we answer some open questions in F. R. Hampel et al. (Robust Statistics, Chap. 6, Wiley, New York). Moreover, we examine the relationship among...
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In a structural measurement error model the structural quasi-score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified, the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the...
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