Results 131 to 140 of about 914,804 (316)
Asymptotics of Least Trimmed Squares Regression
High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables.The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness ...
Cizek, P.
core
Application of structured total least squares for system identification and model reduction
, 2004 The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series is a trajectory of a linear time invariant system of a
Pintelon, R. +9 more
core
, 2018 Given a square with integer side length n, we ask for the number of different ways to divide it into sub-squares, considering only the list of parts. We enumerate all possible lists and check whether a placement with those squares is possible. In order to do this, we propose a new algorithm for creating perfect square packings.
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FEBS Open Bio, EarlyView.Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Orthogonal-least-squares regression: A unified approach for data modelling
, 2008 A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J. +13 more
core +1 more source
, 2013 In this paper we have a look at squared squares with small integer sidelengths, where the only restriction is that any two subsquares of the same size are not allowed to share a full border. We prove that there are exactly two such squared squares (and their mirrored versions) up to and including size 17x17. They are shown in Figure 1 (page 2).
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Tiling the unit square with squares and rectangles
Journal of Combinatorial Theory, Series A, 1985 Call a rectangle small if it will fit inside the unit square; call a rectangle binary if its dimensions are powers of 2. Theorem 1. If \({\mathcal S}\) is a set of small binary squares having total area greater than 1, some finite subset of \({\mathcal S}\) will tile the unit square. Theorem 2.
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FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
A robust partial least squares method with applications [PDF]
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez +2 more
core
A simplified implementation of the least squares solution for pairwise comparisons matrices
, 2011 This is a follow up to "Solution of the least squares method problem of pairwise comparisons matrix" by Bozóki published by this journal in 2008. Familiarity with this paper is essential and assumed.
Alholcer, Marcin +6 more
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