Results 21 to 30 of about 11,240 (193)
Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression
International Journal of Mathematics and Mathematical Sciences, 2021 Mixed estimators in nonparametric regression have been developed in models with one response. The biresponse cases with different patterns among predictor variables that tend to be mixed estimators are often encountered.
Dyah P. Rahmawati +3 more
doaj +1 more source
Modified Robust M-approach to estimate the parameters of linear Regression model [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 The idea of this research is to find construction Weighted Robust for the estimate parameters of the linear regression model by blend Robust M- approach and Weighted Least Squares method to handle the influence of Outlier Values, which don't harmonies ...
doaj +1 more source
Least squares DOA estimation with an informed phase unwrapping and full bandwidth robustness [PDF]
, 2020 The weighted least-squares (WLS) direction-of-arrival estimator that minimizes an error based on interchannel phase differences is both computationally simple and flexible.
Bohlender, Alexander +3 more
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Choice of State Estimation Solution Process for Medium Voltage Distribution Systems [PDF]
, 2014 As distribution networks are turning into active systems, enhanced observability and continuous monitoring becomes essential for effective management and control.
Irving, MR, Nusrat, N, Taylor, GA
core +1 more source
Sensors, 2019 Time difference of arrival (TDoA) based on a group of sensor nodes with known locations has been widely used to locate targets. Two-step weighted least squares (TSWLS), constrained weighted least squares (CWLS), and Newton−Raphson (NR) iteration ...
Peng Wu +5 more
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A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields [PDF]
, 2017 Classical methods for X-ray computed tomography are based on the assumption that the X-ray source intensity is known, but in practice, the intensity is measured and hence uncertain.
Aggrawal, Hari Om +3 more
core +2 more sources
Robust LMedS-Based WLS and Tukey-Based EKF Algorithms Under LOS/NLOS Mixture Conditions
IEEE Access, 2019 In this paper, we present robust localization algorithms that use range measurements. The least median of squares (LMedS)-weighted least squares (WLS), LMedS-spherical simplex unscented transform (SSUT) based WLS and Tukey-based extended Kalman filter ...
Chee-Hyun Park, Joon-Hyuk Chang
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IOP Conference Series: Materials Science and Engineering, 2019 Abstract The purpose of this research is to identify a particular relationship pattern among predictors and response variables where the response variables are multi-response and correlated. Path analysis is one of the appropriate statistical parametric method to estimate the parameter when the curves are known, but in fact the curves is
Muhamad Fariq Hidayat +2 more
openaire +1 more source
A novel multilayer neural network model for TOA-based localization in wireless sensor networks [PDF]
, 2011 A novel multilayer neural network model, called artificial synaptic network, was designed and implemented for single sensor localization with time-of-arrival (TOA) measurements.
Monir Vaghefi, Sayed Reza +1 more
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Abstract and Applied Analysis, 2020 The Multivariate Geographically Weighted Regression (MGWR) model is a development of the Geographically Weighted Regression (GWR) model that takes into account spatial heterogeneity and autocorrelation error factors that are localized at each observation
Sri Harini
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