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Advanced Search Results For "LEAST squares"

1 - 10 of 85,083 results for
 "LEAST squares"
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Swiss knife partial least squares (SKPLS): One tool for modelling single block, multiblock, multiway, multiway multiblock including multi-responses and meta information under the ROSA framework.

Publication Type:Academic Journal

Source(s):Analytica chimica acta [Anal Chim Acta] 2022 May 08; Vol. 1206, pp. 339786. Date of Electronic Publication: 2022 Mar 30.

Abstract:In the domain of chemometrics and multivariate data analysis, partial least squares (PLS) modelling is a widely used technique. PLS gains its beauty by handling the high collinearity found in multivariate data by replacing highly covarying variables wi...

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Flexible Implementation of the Trilinearity Constraint in Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) of Chromatographic and Other Type of Data.

Publication Type:Academic Journal

Source(s):Molecules (Basel, Switzerland) [Molecules] 2022 Apr 05; Vol. 27 (7). Date of Electronic Publication: 2022 Apr 05.

Abstract:Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) can analyze three-way data under the assumption of a trilinear model using the trilinearity constraint. However, the rigid application of this constraint can produce unrealistic solution...

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Comparison of partial least square, artificial neural network, and support vector regressions for real-time monitoring of CHO cell culture processes using in situ near-infrared spectroscopy.

Publication Type:Academic Journal

Source(s):Biotechnology and bioengineering [Biotechnol Bioeng] 2022 Feb; Vol. 119 (2), pp. 535-549. Date of Electronic Publication: 2021 Dec 06.

Abstract:The biopharmaceutical industry must guarantee the efficiency and biosafety of biological medicines, which are quite sensitive to cell culture process variability. Real-time monitoring procedures based on vibrational spectroscopy such as near-infrared (...

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Slow Time-Varying Batch Process Quality Prediction Based on Batch Augmentation Analysis.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jan 10; Vol. 22 (2). Date of Electronic Publication: 2022 Jan 10.

Abstract:In this paper, focusing on the slow time-varying characteristics, a series of works have been conducted to implement an accurate quality prediction for batch processes. To deal with the time-varying characteristics along the batch direction, sliding wi...

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Improved modelling for low-correlated multiple responses by common-subset-of-independent-variables partial-least-squares.

Publication Type:Academic Journal

Source(s):Talanta [Talanta] 2022 Mar 01; Vol. 239, pp. 123140. Date of Electronic Publication: 2021 Dec 10.

Abstract:In this study, a new approach for PLS modelling for low-correlated multiple responses, called Common-Subset-of-Independent-Variables Partial-Least-Squares, denoted as CSIV-PLS1, is proposed and evaluated. In CSIV-PLS1, for each response vector, individ...

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Distributed learning for sketched kernel regression.

Publication Type:Academic Journal

Source(s):Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2021 Nov; Vol. 143, pp. 368-376. Date of Electronic Publication: 2021 Jun 25.

Abstract:We study distributed learning for regularized least squares regression in a reproducing kernel Hilbert space (RKHS). The divide-and-conquer strategy is a frequently used approach for dealing with very large data sets, which computes an estimate on each...

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A full spectral analysis method for the gamma spectrum: weighted library least squares.

Publication Type:Academic Journal

Source(s):Analytical methods : advancing methods and applications [Anal Methods] 2021 Oct 21; Vol. 13 (40), pp. 4718-4723. Date of Electronic Publication: 2021 Oct 21.

Abstract:The traditional library least squares approach (LLS) is affected by the inconsistency of the statistical uncertainties of different channels in a gamma spectrum, which leads to large fluctuations in the analysis results. This work proposes a weighted l...

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Actuarial Measures, Regression, and Applications of Exponentiated Fréchet Loss Distribution.

Publication Type:Academic Journal

Source(s):International Journal of Mathematics & Mathematical Sciences. 9/5/2022, p1-17. 17p.

Abstract:In this study, a new loss distribution, called the exponentiated Fréchet loss distribution is developed and studied. The plots of the density function of the distribution show that the distribution can exhibit different shapes including right skewed an...

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Fixed-Point and STILS Method to Solve a Coupled System of Transport Equations.

Publication Type:Academic Journal

Source(s):Journal of Applied Mathematics. 8/22/2022, p1-6. 6p.

Abstract:In this paper, a coupled system of two transport equations is studied. The techniques are a fixed-point and Space-Time Integrated Least Square (STILS) method. The nonstationary advective transport equation is transformed to a "stationary" one by integr...

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Linear or non-linear multivariate calibration models? That is the question.

Publication Type:Academic Journal

Source(s):Analytica chimica acta [Anal Chim Acta] 2022 Sep 15; Vol. 1226, pp. 340248. Date of Electronic Publication: 2022 Aug 11.

Abstract:Concepts from data science, machine learning, deep learning and artificial neural networks are spreading in many disciplines. The general idea is to exploit the power of statistical tools to interpret complex and, in many cases, non-linear data. Specif...

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