Results 61 to 70 of about 614,693 (221)
Tikrit Journal of Pure Science, 2023 Appear in Many Application Areas for Regression Analysis and Presence the case of More Than One Variable Dependent Affected by A variety of Explanatory Variable and at The Same Time The Number of Observation is Relatively Small Compared to The Number ...
Thafer Ramathan Muttar AL-Badrany +1 more
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Significance Regression: A Statistical Approach to Biased Linear Regression and Partial Least Squares [PDF]
, 1993 This paper first examines the properties of biased regressors that proceed by restricting the search for the optimal regressor to a subspace. These properties suggest features such biased regression methods should incorporate.
Hjalmarsson, Hakan +2 more
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Partial Least Squares Regression on Symmetric Positive-Definite Matrices
Revista Colombiana de Estadística, 2013 Recientemente ha habido un aumento en el interés de analizar diferentes tipos de datos variedad-valuados, dentro de los cuáles aparecen los datos de matrices simétricas definidas positivas.
RAÚL ALBERTO PÉREZ +1 more
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Atmosphere, 2021 The past decade has witnessed a rapid decline in the Arctic sea ice and therefore has raised a rising demand for sea ice forecasts. In this study, based on an analysis of long-term Arctic summer sea ice concentration (SIC) and global sea surface ...
Xiaochen Ye, Zhiwei Wu
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Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
Remote Sensing, 2014 The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the hyperspectral reflectance of winter wheat was selected to optimize the selection of spectral features and
Xinchuan Li +7 more
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A medium-N approach to macroeconomic forecasting [PDF]
, 2012 This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double ...
Cubadda, G, Guardabascio, B
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Quaternion Kernel Partial Least Squares Regression Algorithms
Journal of the Franklin InstituteThis work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
José Domingo Jiménez-López +3 more
openaire +2 more sources
Robust continuum regression. [PDF]
Several applications of continuum regression (CR) to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (ordinary least squares (OLS ...
Croux, Christophe +3 more
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Implementing PLS for distance-based regression: computational issues [PDF]
, 2006 Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 10^4) such as those typical of automobile insurance ...
Boj, Eva +3 more
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Predicting the composition of red wine blends using an array of Multicomponent peptide-based sensors [PDF]
, 2015 Differential sensing using synthetic receptors as mimics of the mammalian senses of taste and smell is a powerful approach for the analysis of complex mixtures.
Abdi +18 more
core +4 more sources