Results 1 to 10 of about 863,157 (269)
The Calculus of M-Estimation in R with geex [PDF]
Journal of Statistical Software, 2020 M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set of user ...
Bradley C. Saul, Michael G. Hudgens
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M-estimation in high-dimensional linear model [PDF]
Journal of Inequalities and Applications, 2018 We mainly study the M-estimation method for the high-dimensional linear regression model and discuss the properties of the M-estimator when the penalty term is a local linear approximation. In fact, the M-estimation method is a framework which covers the
Kai Wang, Yanling Zhu
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Scaling and sampling dependencies of forest canopy height mapping towards jurisdictional biomass reporting using airborne LiDAR and small-area estimation [PDF]
Carbon Balance and ManagementConsolidated airborne laser scanning (ALS) programs, satellite imagery and spaceborne structural measurements have enabled major advances in canopy height mapping that translate towards the forest carbon biomass arena. However, we must carefully evaluate
Juan Guerra-Hernández +3 more
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Absolute M split estimation as an alternative for robust M-estimation [PDF]
Advances in Geodesy and Geoinformation, 2022 The problem of outlying observations is very well-known in the surveying data processing. Outliers might have several sources, different magnitudes, and shares within the whole observation set.
Robert Duchnowski, Patrycja Wyszkowska
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Two variants of M split estimation – similarities and differences [PDF]
Advances in Geodesy and Geoinformation, 2022 M split estimation is a novel method developed to process observation sets that include two (or more) observation aggregations. The main objective of the method is to estimate the location parameters of each aggregation without any preliminary assumption
Patrycja Wyszkowska, Robert Duchnowski
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COMPARISON OF ROBUST ESTIMATION ON MULTIPLE REGRESSION MODEL
Barekeng, 2023 This study aimed to compare the robustness of the OLS method with a robust regression model on data that had outliers. The methods used on the robust regression model were M-estimation, MM-estimation, and S-estimation.
Padrul Jana +2 more
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Redescending M-estimators [PDF]
Journal of Statistical Planning and Inference, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shevlyakov, Georgy +2 more
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Acta Universitatis Lodziensis. Folia Oeconomica, 2020 The aim of the paper is to study relationships between selected socio‑economic factors and health of European citizens. The health level is measured by selected global burden of disease measures – DALYs (Disability Adjusted Life Years) and its two ...
Agnieszka Orwat-Acedańska
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M-estimators for isotonic regression [PDF]
Journal of Statistical Planning and Inference, 2012 In this paper we propose a family of robust estimates for isotonic regression: isotonic M-estimators. We show that their asymptotic distribution is, up to an scalar factor, the same as that of Brunk's classical isotonic estimator. We also derive the influence function and the breakdown point of these estimates.
Alvarez, Enrique Ernesto +1 more
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Systematic bias of selected estimates applied in vertical displacement analysis
Journal of Geodetic Science, 2020 In surveying problems we almost always use unbiased estimators; however, even unbiased estimator might yield biased assessments, which is due to data.
Wyszkowska P., Duchnowski R.
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