Abstract
In this article, some general results on the rates of strong consistency for the least squares estimators and weighted least squares estimators in heteroscedastic partially linear errors-in-variables model based on widely orthant dependent random errors are presented. The results can deduce strong consistency and convergence rates under some mild conditions. Some numerical simulations are also provided to support the theoretical results.
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