Models where the least trimmed squares and least median of squares estimators are maximum likelihood
The Least Trimmed Squares (LTS) and Least Median of Squares (LMS) estimators are popular robust regression estimators. The idea behind the estimators is to find, for a given h, a sub-sample of h good observations among n observations and estimate the regression on that sub-sample. We find models, ba...
Հիմնական հեղինակներ: | Berenguer-Rico, V, Johansen, S, Nielsen, B |
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Ձևաչափ: | Journal article |
Լեզու: | English |
Հրապարակվել է: |
2019
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Նմանատիպ նյութեր
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A model where the least trimmed squares estimator is maximum likelihood
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Least trimmed squares: nuisance parameter free asymptotics
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A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling
: Raudhah Zulkifli, և այլն
Հրապարակվել է: (2022-01-01) -
Symmetrically trimmed least squares estimation for Tobit models
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Հրապարակվել է: (2011) -
Large Sample Behavior of the Least Trimmed Squares Estimator
: Yijun Zuo
Հրապարակվել է: (2024-11-01)