Results 21 to 30 of about 2,015,824 (285)
Non-parametric and least squares Langley plot methods [PDF]
Langley plots are used to calibrate sun radiometers primarily for the measurement of the aerosol component of the atmosphere that attenuates (scatters and absorbs) incoming direct solar radiation.
P. W. Kiedron, J. J. Michalsky
doaj +1 more source
Götterdämmerung over total least squares
The traditional way of solving non-linear least squares (LS) problems in Geodesy includes a linearization of the functional model and iterative solution of a nonlinear equation system.
Malissiovas G., Neitzel F., Petrovic S.
doaj +1 more source
Differentially Private Ordinary Least Squares
Linear regression is one of the most prevalent techniques in machine learning; however, it is also common to use linear regression for its explanatory capabilities rather than label prediction.
Or Sheffet
doaj +1 more source
Least-squares inversion for density-matrix reconstruction [PDF]
We propose a method for reconstruction of the density matrix from measurable time-dependent (probability) distributions of physical quantities. The applicability of the method based on least-squares inversion is - compared with other methods - very ...
A. Zucchetti +48 more
core +2 more sources
It is necessary to determine the limit of detection when validating any analytical method. For methods with a linear response, a simple and low labor-consuming procedure is to use the linear regression parameters obtained in the calibration to estimate ...
Juan M. Sanchez
doaj +1 more source
The performance of unweighted least squares and regularized unweighted least squares in estimating factor loadings in structural equation modeling [PDF]
In a confirmatory study, researchers are expected to employ the covariance-based structural equation modeling (CB-SEM). One of the key presumptions when utilizing CB-SEM is that the data is multivariate normal.
Nurul Raudhah Zulkifli +2 more
doaj +1 more source
Total Least Squares Registration of 3D Surfaces [PDF]
Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of coregistration is to merge the overlapping point clouds by estimating the spatial transformation parameters.
U. Aydar +3 more
doaj +1 more source
Teaching Least Squares in Matrix Notation
Material for teaching least squares at the undergraduate level in matrix notation is reported. The weighted least squares equations are first derived in matrix form; equivalence with the standard results obtained by standard algebra are then given for ...
Guglielmo Monaco, Aniello Fedullo
doaj +1 more source
Flexible Least Squares Algorithm for Switching Models
The self-organizing model and expectation-maximization method are two traditional identification methods for switching models. They interactively update the parameters and model identities based on offline algorithms. In this paper, we propose a flexible
Yunxia Ni, Lixing Lv, Yuejiang Ji
doaj +1 more source
Subspace Least Squares Multidimensional Scaling
Multidimensional Scaling (MDS) is one of the most popular methods for dimensionality reduction and visualization of high dimensional data. Apart from these tasks, it also found applications in the field of geometry processing for the analysis and ...
Boyarski, Amit +2 more
core +1 more source

