Asymptotic theory of outlier detection algorithms for linear time series regression models: Rejoinder
Outlier detection algorithms are intimately connected with robust statistics that down-weight some observations to zero. We define a number of outlier detection algorithms related to the Huber-skip and least trimmed squares estimators, including the one-step Huber-skip estimator and the forward sear...
Автори: | Nielsen, B, Johansen, S |
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Формат: | Journal article |
Опубліковано: |
Wiley
2016
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