Modeling of Chronological Age Using Least Trimmed Squares Ridge Regression
Journal of Statistical Sciences, 2021 : The popular method to estimation the parameters of a linear regression model is the ordinary least square method which, despite the sim-plicity of calculating and providing the BLUE estimator of parameters, in some situations leads to misleading ...
مهدی روزبه +1 more
semanticscholar +1 more source
Robust trimmed regression for heavy-tailed stable data: Competing methods and order statistics [PDF]
AUT Journal of Mathematics and ComputingRobust regression methods including, least trimmed squares, are among the most important methodologies for computing exact coefficient estimators when data is polluted with outliers.
Mohammad Bassam Shiekh Albasatneh +1 more
doaj +1 more source
UV3D: Underwater Video Stream 3D Reconstruction Based on Efficient Global SFM
Applied Sciences, 2022 With the increasing demand for underwater resource exploration, three-dimensional (3D) reconstruction technology is important for searching for lost underwater civilizations, underwater shipwrecks, or seabed structures.
Yanli Chen +4 more
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Estimasi Nonlinear Least Trimmed Squares (NLTS) pada Model Regresi Nonlinier yang Dikenai Outlier
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2015 Constant Elasticity of Substitution (CES) production function is the intrinsic nonlinear regression models that are often used to estimate the data in an industry.
Nur Laili Arofah, Sri Harini
doaj +1 more source
On Robust Estimation of Error Variance in (Highly) Robust Regression
Measurement Science Review, 2020 The linear regression model requires robust estimation of parameters, if the measured data are contaminated by outlying measurements (outliers). While a number of robust estimators (i.e. resistant to outliers) have been proposed, this paper is focused on
Kalina Jan, Tichavský Jan
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Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators [PDF]
SSRN Electronic Journal, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +6 more sources
Trimmed Least Square Estimators for Stable Ar(1) Processes [PDF]
Mathematica Pannonica, 2022 We prove the weak consistency of the trimmed least square estimator of the covariance parameter of an AR(1) process with stable errors.
Bazarova, Alina +2 more
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A Robust Segmented Mixed Effect Regression Model for Baseline Electricity Consumption Forecasting
Journal of Modern Power Systems and Clean Energy, 2022 Renewable energy production has been surging around the world in recent years. To mitigate the increasing uncertainty and intermittency of the renewable generation, proactive demand response algorithms and programs are proposed and developed to further ...
Xiaoyang Zhou +3 more
doaj +1 more source
ROBUST SPARSE MATCHING AND MOTION ESTIMATION USING GENETIC ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In this paper, we propose a robust technique using genetic algorithm for detecting inliers and estimating accurate motion parameters from putative correspondences containing any percentage of outliers.
M. Shahbazi +3 more
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Analysis of Targeted Coordinated Attacks on Decomposition-Based Robust State Estimation
IEEE Open Access Journal of Power and Energy, 2023 The impact of false data injection (FDI) attacks on static state estimation of power systems has been actively studied in the past decade. In this paper, we consider an estimation method that first decomposes the system into islands and then implements ...
Naime Ahmadi +2 more
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