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Large Sample Behavior of the Least Trimmed Squares Estimator [PDF]
Mathematics, 2022 The least trimmed squares (LTS) estimator is popular in location, regression, machine learning, and AI literature. Despite the empirical version of least trimmed squares (LTS) being repeatedly studied in the literature, the population version of the LTS ...
Yijun Zuo
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On the least trimmed squares estimators for JS circular regression model
Kuwait Journal of Science, 2021 The least trimmed squares (LT S) estimation has been successfully used in the robust linear regression models. This paper, extends the LT S estimation to the JS circular regression model.
Shokrya Saleh Alshiqaq
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ISPRS International Journal of Geo-Information, 2021 Soil Moisture Deficit (SMD) is a key indicator of soil water content changes and is valuable to a variety of applications, such as weather and climate, natural disasters, agricultural water management, etc.
Prashant K. Srivastava +3 more
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Kontinu: Jurnal Penelitian Didaktik Matematika, 2020 Tuberkulosis merupakan suatu penyakit menular yang disebabkan oleh bakteri Mycobacterium tuberculosis. Tuberkulosis sendiri menjadi salah satu penyakit yang menjadi perhatian dunia karena menjadi 10 penyebab kematian tertinggi di dunia pada tahun 2015 ...
Dina Rohmah +2 more
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Models Where the Least Trimmed Squares and Least Median of Squares Estimators Are Maximum Likelihood [PDF]
SSRN Electronic Journal, 2019 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.
Berenguer-Rico, V +2 more
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PLoS Computational Biology, 2019 Gene-expression deconvolution is used to quantify different types of cells in a mixed population. It provides a highly promising solution to rapidly characterize the tumor-infiltrating immune landscape and identify cold cancers.
Yuning Hao +4 more
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Trimmed Least Squares Estimation in the Linear Model [PDF]
Journal of the American Statistical Association, 1980 Abstract We consider two methods of defining a regression analog to a trimmed mean. The first was suggested by Koenker and Bassett and uses their concept of regression quantiles. Its asymptotic behavior is completely analogous to that of a trimmed mean. The second method uses residuals from a preliminary estimator.
David Ruppert, Raymond J Carroll
exaly +4 more sources
LEAST TRIMMED SQUARES: NUISANCE PARAMETER FREE ASYMPTOTICS
Econometric TheoryThe Least Trimmed Squares (LTS) regression estimator is known to be very robust to the presence of “outliers”. It is based on a clear and intuitive idea: in a sample of size n, it searches for the h-subsample of observations with the smallest sum of squared residuals.
Vanessa Berenguer-Rico, Bent Nielsen
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Sediment Rating Curve Estimation Using Robust Regression [PDF]
فناوریهای پیشرفته در بهرهوری آب, 2022 A sediment rating curve is the most known method in the hydrological approach for suspended sediment load estimation that is a power equation (or linear equation based on logarithmic data transformation) to relate suspended sediment load to the river ...
Meysam Salarijazi +3 more
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On the Least Trimmed Squares Estimator [PDF]
Algorithmica, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David M. Mount +4 more
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