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This article addresses the estimation problem associated with heteroscedastic partially linear error-in-variables (EV) models. We establish some strong consistency properties for estimators of both the slope parameter and the nonparametric component based on asymptotic negative association (ANA or , for short) errors when the error variance is known.
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