Robust and efficient pharmacokinetic parameter non-linear least squares estimation for dynamic contrast enhanced MRI of the prostate.
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2017.12.021
Abstract: PURPOSE To describe an efficient numerical optimization technique using non-linear least squares to estimate perfusion parameters for the Tofts and extended Tofts models from dynamic contrast enhanced (DCE) MRI data and apply the technique to… read more here.
Keywords: linear least; least squares; non linear; dynamic contrast ... See more keywords
Parameter estimation for three-parameter generalized Pareto distribution by weighted non linear least squares
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1202286
Abstract: ABSTRACT Generalized Pareto distribution (GPD) is widely used to model exceedances over thresholds. In this paper, we propose a new method, called weighted non linear least squares (WNLS), to estimate the parameters of the three-parameter… read more here.
Keywords: linear least; non linear; weighted non; generalized pareto ... See more keywords
Spatially Variant Ultrasound Attenuation Mapping Using a Regularized Linear Least-Squares Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2022.3157949
Abstract: Quantitative ultrasound methods aim to estimate the acoustic properties of the underlying medium, such as the attenuation and backscatter coefficients, and have applications in various areas including tissue characterization. In practice, tissue heterogeneity makes the… read more here.
Keywords: variant ultrasound; linear least; attenuation; ultrasound attenuation ... See more keywords
Application of linear least squares to the analysis of Auger electron spectroscopy depth profiles of plutonium oxides
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Vacuum Science and Technology"
DOI: 10.1116/1.5021587
Abstract: Application of the linear least squares (LLS) methodology allows for quantitative determination of variation in material composition with depth. LLS fits were applied to decompose and enhance the interpretation of spectra obtained by Auger electron… read more here.
Keywords: linear least; depth; methodology; least squares ... See more keywords
GM(1, 1;λ) with Constrained Linear Least Squares
Sign Up to like & getrecommendations! Published in 2021 at "Axioms"
DOI: 10.3390/axioms10040278
Abstract: The only parameters of the original GM(1,1) that are generally estimated by the ordinary least squares method are the development coefficient a and the grey input b. However, the weight of the background value, denoted… read more here.
Keywords: linear least; constrained linear; least squares;