Results 51 to 60 of about 1,435,162 (166)
A new distribution for robust least squares [PDF]
, 2014 A new distribution is introduced, which we call the twin-t distribution. This distribution is heavy-tailed like the t distribution, but closer to normality in the central part of the curve. Its properties are described, e.g.
Baker, Rose, Jackson, Dan
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On the constrained mock-Chebyshev least-squares
, 2014 The algebraic polynomial interpolation on uniformly distributed nodes is affected by the Runge phenomenon, also when the function to be interpolated is analytic.
De Marchi, Stefano +2 more
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Analysis of moving least squares approximation revisited
, 2015 In this article the error estimation of the moving least squares approximation is provided for functions in fractional order Sobolev spaces. The analysis presented in this paper extends the previous estimations and explains some unnoticed mathematical ...
Mirzaei, Davoud
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Penerapan Partial Least Squares Pada Data Gingerol
ComTech, 2010 Multivariate calibration model aims to predict the expensive measures obtained by using the measures of a cheap and easy. There are several problems that often occur in the model calibration, among others, and multikolinear. To overcome these problems we
Margaretha Ohyver
doaj +1 more source
Total Least Squares Registration of 3D Surfaces
International Journal of Environment and Geoinformatics, 2015 Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of co-registration is to merge the overlapping point clouds by estimating the spatial transformation parameters.
Umut Aydar, M. Orhan Altan
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Least-Squares Contour Alignment [PDF]
IEEE Signal Processing Letters, 2009 The contour alignment problem, considered in this letter, is to compute the minimal distance in a least-squares sense, between two explicitly represented contours, specified by corresponding points, after arbitrary rotation, scaling, and translation of one of the contours.
Markovsky, Ivan, Mahmoodi, Sasan
openaire +3 more sources
Efficient least-squares basket-weaving
, 2012 We report on a novel method to solve the basket-weaving problem. Basket-weaving is a technique that is used to remove scan-line patterns from single-dish radio maps. The new approach applies linear least-squares and works on gridded maps from arbitrarily
Flöer, L., Kraus, A., Winkel, B.
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On estimating gravity anomalies: A comparison of least squares collocation with least squares techniques [PDF]
The least squares collocation algorithm for estimating gravity anomalies from geodetic data is shown to be an application of the well known regression equations which provide the mean and covariance of a random vector (gravity anomalies) given a ...
Argentiero, P., Lowrey, B.
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A Note on Separable Nonlinear Least Squares Problem
, 2011 Separable nonlinear least squares (SNLS)problem is a special class of nonlinear least squares (NLS)problems, whose objective function is a mixture of linear and nonlinear functions.
Al-Mushayt, Omar Saeed, Gharibi, Wajeb
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Least Squares Ranking on Graphs [PDF]
, 2011 Given a set of alternatives to be ranked, and some pairwise comparison data, ranking is a least squares computation on a graph. The vertices are the alternatives, and the edge values comprise the comparison data.
Hirani, Anil N. +2 more
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