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Combining forecasts using the least trimmed squares.
Kybernetika, 2001Summary: Employing a recently derived asymptotic representation of the least trimmed squares estimator, the combinations of the forecasts with constraints are studied. Under the assumption of the unbiasedness of individual forecasts it is shown that the combination without intercept and with constraints imposed on the estimate of the regression ...
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Least trimmed squares: cointegration and outliers
When applying the cointegrated autoregressive distributed lag model it is common to include indicator variables for outliers. This is often done in a somewhat ad hoc way. Least Trimmed Squares estimation provides a more systematic approach. This estimator is robust to a large number of outliers of many types.Berenguer-Rico, V, Nielsen, B
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Nonlinear Stable Least Trimmed Squares for Regression Models with Stable Errors
Fluctuation and Noise LettersMohammad Bassam Shiekh Albasatneh +1 more
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Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks
Expert systems with applications, 2017I. É. Koch +6 more
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Least-trimmed squares: asymptotic normality of robust estimator in semiparametric regression models
, 2017M. Roozbeh, M. Arashi
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Robust mixture regression modeling using the least trimmed squares (LTS)-estimation method
Communications in statistics. Simulation and computation, 2018F. Z. Doğru, O. Arslan
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