Results 11 to 20 of about 439,420 (307)
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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Robust error estimation based on factor-graph models for non-line-of-sight localization
EURASIP Journal on Advances in Signal Processing, 2022 This paper presents a method to estimate the covariances of the inputs in a factor-graph formulation for localization under non-line-of-sight conditions. A general solution based on covariance estimation and M-estimators in linear regression problems, is
O. Arda Vanli, Clark N. Taylor
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Robust Dynamic Mode Decomposition
IEEE Access, 2022 This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi +2 more
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Genomics, 2021 The ΔΔct method estimates fold change in gene expression data from RT-PCR assay. The ΔΔct estimate aggregates replicates using mean and standard deviation (sd) and is not robust to outliers which are in practice often removed before the non-outlying replicates are aggregated. The alternative of using robust statistics such as median and median absolute
Arun, Kumar, Daniel, Lorand
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The Symmetry of GPS Orbit Ascending Nodes
Remote Sensing, 2021 Theoretical nominal GPS orbits are parallel and share six ascending nodes of orbital planes. However, due to the perturbations and continuous modernization of the system, this state does not occur.
Pawel S. Dabrowski
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A Robust Algorithm for Photon Denoising and Bathymetric Estimation Based on ICESat-2 Data
Remote Sensing, 2023 The Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2) is equipped with an Advanced Terrain Laser Altimeter System (ATLAS) with the capability of penetrating water bodies, making it a widely utilized tool for the bathymetry of various aquatic ...
Junsheng Zhong +3 more
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Remote Sensing, 2023 In multi-robot simultaneous localization and mapping (SLAM) systems, the system must create a consistent global map with multiple local maps and loop closures between robot poses.
Zhihong Chen +4 more
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Robust Dynamic Estimation [PDF]
Marketing Science, 2017 Managing marketing resources over time requires dynamic model estimation, which necessitates specifying some parametric or nonparametric probability distribution. When the data generating process differs from the assumed distribution, the resulting model is misspecified. To hedge against such a misspecification risk, the extant theory recommends using
Olivier Rubel, Prasad A. Naik
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Remote Sensing, 2021 The shift in IF (instantaneous frequency) series and the corresponding relaxation time have the potential to characterize sediment properties. However, these attributes derived from SBP (sub-bottom profiler) data are seldom used for offshore site ...
Shaobo Li +3 more
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Remote Sensing, 2022 Terrestrial laser scanning (TLS) is a modern measurement technique that provides a point cloud in a relatively short time. TLS data are usually processed using different methods in order to obtain the final result (infrastructure or terrain models ...
Robert Duchnowski, Patrycja Wyszkowska
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