An Iterative Least Squares Method for Proton CT Image Reconstruction. [PDF]
IEEE Trans Radiat Plasma Med Sci, 2022 DeJongh DF, DeJongh EA.
europepmc +1 more source
DNA methylation loci identification for pan-cancer early-stage diagnosis and prognosis using a new distributed parallel partial least squares method. [PDF]
Front Genet, 2022 He QE, Zhu JX, Wang LY, Ding EC, Song K.
europepmc +1 more source
Further evaluation of the constrained least squares electromagnetic compensation method [PDF]
Technologies exist for construction of antennas with adaptive surfaces that can compensate for many of the larger distortions caused by thermal and gravitational forces. However, as the frequency and size of reflectors increase, the subtle surface errors
Smith, William T.
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Computer program for fitting low-order polynomial splines by method of least squares [PDF]
, 1972 FITLOS is computer program which implements new curve fitting technique. Main program reads input data, calls appropriate subroutines for curve fitting, calculates statistical analysis, and writes output data.
Smith, P. J.
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Improved weighted least-squares phase unwrapping method for interferometric SAR processing
The Journal of Engineering, 2019 Based on the study of existed least-squares and weighted least-squares phase unwrapping methods, an improved weighted least-squares algorithm based on unwrapping phase error compensation is proposed.
Yu Hui +5 more
doaj +1 more source
A Note on an Iterative Least Squares Estimation Method for ARMA and VARMA Models [PDF]
In this note we suggest a new iterative least squares method for estimating scalar and vector ARMA models. A Monte Carlo study shows that the method has better small sample properties than existing least squares methods and compares favourably with ...
George Kapetanios
core
Massively parallel least squares finite element method with graphic processing unit
Advances in Mechanical Engineering, 2017 For the reason of enormous computational expense, although the least squares finite element method has the advantages of high accuracy, robustness and strong versatility, the application of it is limited in computational fluid dynamics.
Qiliang Li +4 more
doaj +1 more source
S-estimation for penalized regression splines. [PDF]
This paper is about S-estimation for penalized regression splines. Penalized regression splines are one of the currently most used methods for smoothing noisy data. The estimation method used for fitting such a penalized regression spline model is mostly
Claeskens, Gerda +3 more
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Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method [PDF]
Journal of Systemics, Cybernetics and Informatics, 2014 The impact of reliable estimation of stream flows at highly urbanized areas and the associated receiving waters is very important for water resources analysis and design.
Nian Zhang +2 more
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Fuzzy Logistic Regression Analysis Using the Least Squares Method
Transactions on Fuzzy Sets and SystemsOne of the most efficient statistical tools for modeling the relationship between a dependent variable and several independent variables is regression.
Zahra Behdani, Majid Darehmiraki
doaj