Results 41 to 50 of about 402,484 (165)
Total Least Squares Estimation in Hedonic House Price Models
ISPRS International Journal of Geo-InformationIn real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan +5 more
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A Recursive Restricted Total Least-Squares Algorithm
IEEE Transactions on Signal Processing, 2014 We show that the generalized total least squares (GTLS) problem with a singular noise covariance matrix is equivalent to the restricted total least squares (RTLS) problem and propose a recursive method for its numerical solution. The method is based on the generalized inverse iteration. The estimation error covariance matrix and the estimated augmented
Rhode, Stephan +3 more
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Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction
Atmosphere, 2020 Numerical weather prediction (NWP) models produce a quantitative precipitation forecast (QPF), which is vital for a wide range of applications, especially for accurate flash flood forecasting.
Aida Jabbari, Deg-Hyo Bae
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Use of Total Least Squares Adjustment in Geodetic Applications
Applied SciencesThis article discusses the method of computing the values of the unknowns under the condition of the minimum sum of the squares of the residuals of the observations, also known as the least squares method, with the additional condition of taking into ...
Aleš Marjetič +2 more
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On weighted total least squares adjustment for solving the nonlinear problems
Journal of Geodetic Science, 2014 In the classical geodetic data processing, a non- linear problem always can be converted to a linear least squares adjustment. However, the errors in Jacob matrix are often not being considered when using the least square method to estimate the optimal ...
Hu C., Chen Y., Peng Y.
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Remote Sensing, 2016 Global sea-surface temperatures (SST) from MODIS measured brightness temperatures generated using the regression methods, have been available to users for more than a decade, and are used extensively for a wide range of atmospheric and oceanic studies ...
Prabhat K. Koner, Andy Harris
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Scaled total least squares fundamentals [PDF]
Numerische Mathematik, 2002 The authors analyse a particularly useful formulation of the scaled total least squares problem. The analysis is based on a new assumption that guarantees existence and uniqueness of meaningful solution for real positive parameters. The proposed in the paper theoretical considerations complex data are allowed.
Paige, Christopher C., Strakoš, Zdenek
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Total Least Squares In-Field Identification for MEMS-Based Inertial Measurement Units
RoboticsInertial Measurement Units are widely used in various applications and, hardware-wise, they primarily consist of a tri-axial accelerometer and a tri-axial gyroscope.
Massimo Duchi, Edoardo Ida’
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Consistency of the total least squares estimator in the linear errors-in-variables regression
Modern Stochastics: Theory and Applications, 2018 This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
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Linear-regression models and algorithms based on the Total-Least-Squares principle
Geodesy and Geodynamics, 2012 In classical regression analysis, the error of independent variable is usually not taken into account in regression analysis. This paper presents two solution methods for the case that both the independent and the dependent variables have errors.
Ding Shijun, Jiang Weiping, Shen Zhijuan
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