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Joint Position and Beamforming Control via Alternating Nonlinear Least-Squares with a Hierarchical Gamma Prior
2021 American Control Conference (ACC)
◽
10.23919/acc50511.2021.9482851
◽
2021
◽
Author(s):
Anjaly Parayil
◽
Amrit Singh Bedi
◽
Alec Koppel
Keyword(s):
Least Squares
◽
Nonlinear Least Squares
◽
Joint Position
Download Full-text
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References
General framework for asymptotic properties of generalized weighted nonlinear least squares estimators with deterministic and stochastic weighting
1997 European Control Conference (ECC)
◽
10.23919/ecc.1997.7082178
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1997
◽
Author(s):
Gerd Vandersteen
◽
Hugo Van hamme
◽
Rik Pintelon
Keyword(s):
Least Squares
◽
General Framework
◽
Asymptotic Properties
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Nonlinear Least Squares Parameter Estimation Problem Using Levenberg-Marquardt Method
Journal of Environmental Science Computer Science and Engineering & Technology
◽
10.24214/jecet.c.6.3.30313
◽
2017
◽
Vol 6
(3)
◽
Keyword(s):
Parameter Estimation
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Least Squares
◽
Nonlinear Least Squares
◽
Estimation Problem
◽
Parameter Estimation Problem
◽
Marquardt Method
◽
Levenberg Marquardt
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Bootstrapping Nonlinear Least Squares Estimates in the Kalman Filter Model.
10.21236/ada167099
◽
1986
◽
Author(s):
David S. Stoffer
Keyword(s):
Kalman Filter
◽
Least Squares
◽
Nonlinear Least Squares
◽
Filter Model
◽
Least Squares Estimates
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Comments on “Estimating Michaelis-Menten or Langmuir Isotherm Constants by Weighted Nonlinear Least Squares”
Soil Science Society of America Journal
◽
10.2136/sssaj1990.03615995005400030058x
◽
1990
◽
Vol 54
(3)
◽
pp. 941-942
◽
Cited By ~ 5
Author(s):
D.A. Barry
Keyword(s):
Least Squares
◽
Langmuir Isotherm
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An Asymptotically Smoothed Two-Stage Nonlinear Least Squares Estimator for Threshold Regression Models with Endogenous Variable
SSRN Electronic Journal
◽
10.2139/ssrn.1740605
◽
2010
◽
Cited By ~ 1
Author(s):
Daniele Massacci
Keyword(s):
Least Squares
◽
Regression Models
◽
Nonlinear Least Squares
◽
Least Squares Estimator
◽
Endogenous Variable
◽
Threshold Regression
◽
Two Stage
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Nonlinear Least Squares and Maximum Likelihood Estimators for Efficient Multivariate Regression Analysis with the Item Count Technique
SSRN Electronic Journal
◽
10.2139/ssrn.1907111
◽
2000
◽
Author(s):
Magid Maatallah
Keyword(s):
Regression Analysis
◽
Maximum Likelihood
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Least Squares
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Multivariate Regression
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Maximum Likelihood Estimators
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Nonlinear Least Squares
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Multivariate Regression Analysis
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Item Count Technique
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Nonlinear Least Squares Techniques for System Identification in Water Quality
Journal of Environmental Systems
◽
10.2190/jchn-0krk-4jqn-edmw
◽
1974
◽
Vol 4
(1)
◽
pp. 23-37
Author(s):
J.-G. Beliveau
◽
G. Mattingly
Keyword(s):
Water Quality
◽
System Identification
◽
Least Squares
◽
Nonlinear Least Squares
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Least Squares Techniques
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A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation
Atmospheric Pollution Research
◽
10.1016/j.apr.2021.03.003
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Vol 12
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◽
pp. 122-132
Author(s):
Shan Zhang
◽
Xiangjun Tian
◽
Hongqin Zhang
◽
Xiao Han
◽
Meigen Zhang
Keyword(s):
Data Assimilation
◽
Least Squares
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Nonlinear Least Squares
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Variational Data Assimilation
◽
Preliminary Evaluation
◽
Data Assimilation System
◽
Assimilation System
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Alternative structured spectral gradient algorithms for solving nonlinear least-squares problems
Heliyon
◽
10.1016/j.heliyon.2021.e07499
◽
2021
◽
pp. e07499
Author(s):
Mahmoud Muhammad Yahaya
◽
Poom Kumam
◽
Aliyu Muhammed Awwal
◽
Sani Aji
Keyword(s):
Least Squares
◽
Nonlinear Least Squares
◽
Least Squares Problems
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Gradient Algorithms
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Nonlinear Least-Squares State Estimation for 2D RFID-Based Motion Capture
2020 IEEE International Conference on RFID (RFID)
◽
10.1109/rfid49298.2020.9244910
◽
2020
◽
Author(s):
Qian Yang
◽
David G. Taylor
◽
Gregory D. Durgin
Keyword(s):
Least Squares
◽
State Estimation
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Motion Capture
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Nonlinear Least Squares
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