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- URN to cite this document:
- urn:nbn:de:bvb:355-opus-4804
- DOI to cite this document:
- 10.5283/epub.4521
Abstract
For both deterministic or stochastic regressors, as well as parametric nonlinear or linear regression functions, we prove the weak consistency of the coefficient estimators for the Type I censored quantile regression model under different censoring mechanisms with censoring points depending on the observation index (in a nonstochastic manner) and a weakly dependent error process. Our ...

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