, 2018 The development of computed tomography (CT) image reconstruction methods that significantly reduce patient radiation exposure while maintaining high image quality is an important area of research in low-dose CT (LDCT) imaging.
Fessler, Jeffrey A. +3 more
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The Relationship Between Risk and Capital: Evidence from Indian Public Sector Banks [PDF]
The study investigates the relationship between changes in risk and capital in the public sector banking system in India, using both the seemingly unrelated regression (SUR) and the two stage least square (2SLS) method of estimation.
Abhiman Das, Saibal Ghosh
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CARS Spectral Fitting with Multiple Resonant Species using Sparse Libraries [PDF]
, 2010 The dual pump CARS technique is often used in the study of turbulent flames. Fast and accurate algorithms are needed for fitting dual-pump CARS spectra for temperature and multiple chemical species.
Cutler, Andrew D., Magnotti, Gaetano
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Improved nonparametric estimation of the drift in diffusion processes
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 In this paper, we have considered the robust adaptive nonparametric estimation problem for the drift coefficient in diffusion processes. It has been shown that the initial estimation problem can be reduced to the estimation problem in a discrete time ...
E.A. Pchelintsev +2 more
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Systematic Error Modeling and Bias Estimation
Sensors, 2016 This paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models ...
Feihu Zhang, Alois Knoll
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Fogos activos do sensor ATSR 2 e sua relação com variáveis demográficas, ambientais e infra-estruturais usando os métodos de regressão global e geograficamente ponderada para o Brasil [PDF]
, 2009 In this study it was analysed the correlation between the active fire ATSR products and environmental, demographic an infraestrure variables for the Brazilian territory.
Mota, Bernardo +2 more
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A New Parametric Three Stage Weighted Least Squares Algorithm for TDoA-Based Localization
IEEE AccessThe time-difference-of-arrival method is popular for indoor tracking systems due to its simple usage, efficiency, performance, and power economy. To solve the non-linear optimization problem of tag coordinates calculation from number of measurements on ...
Igor Kravets +3 more
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Comparison Results on Preconditioned GAOR Methods for Weighted Linear Least Squares Problems
Journal of Applied Mathematics, 2012 We present preconditioned generalized accelerated overrelaxation methods for solving weighted linear least square problems. We compare the spectral radii of the iteration matrices of the preconditioned and the original methods.
Guangbin Wang, Yanli Du, Fuping Tan
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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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Metode Regresi Data Panel Untuk Peramalan Konsumsi Energi Di Indonesia [PDF]
, 2016 Panel data regression is a method that aims to model the effect of one or more predictor variables on the response variable, observed in some sectors of an object of research for a specific time period.
Mustafid, M. (Mustafid) +2 more
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