Results 71 to 80 of about 614,693 (221)

The Partial Sums of the Least Squares Residuals of Spatial Observations Sampled According to a Probability Measure [PDF]

, 2013
A functional central limit theorem for a sequence of partial sums processes of the least squares residuals of a spatial linear regression model in which the observations are sampled according to a probability measure is established.
Somayasa, W. (Wayan)
core   +2 more sources

Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors

IEEE Access
Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes compared to the number of predictors are small.
Wenxing Yu, Shin-Jae Lee, Hyungjun Cho
doaj   +1 more source

Regresion PLS y PCA como Solucion al Problema de Multicolinealidad en Regresion Multiple

Revista de Matemática: Teoría y Aplicaciones, 2011
We present and compare principal components regression and partial least squares regression, and their solution to the problem of multicollinearity. We illustrate the use of both techniques, and demonstrate the superiority of partial least squares.
José Carlos Vega Vilca, Josué Guzman
doaj   +1 more source

Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]

, 2013
A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Elek, János, Héberger, Károly, Rajkó, Róbert, Rácz, Anita   +3 more
core   +1 more source

System harmonic impedance calculation based on partial least squares equivalent weight regression

Zhejiang dianli
To mitigate the impact of singular values in voltage and current signals on regression results and achieve a more accurate delineation of harmonic responsibilities for both the system and users， this paper proposes a method for calculating system ...
QIAN Yongliang, TANG Mingshu, CHEN Bo, GUO Cheng, FENG Yue   +4 more
doaj   +1 more source

Influence properties of partial least squares regression. [PDF]

Regression; Partial least squares; Least-squares; Squares; Squares regression;
Croux, Christophe, Serneels, S, Van Espen, P   +2 more
core  

Partial robust M-regression. [PDF]

Partial Least Squares (PLS) is a standard statistical method in chemometrics. It can be considered as an incomplete, or 'partial', version of the Least Squares estimator of regression, applicable when high or perfect multicollinearity is present in the ...
Croux, Christophe, Filzmoser, P, Serneels, S, Van Espen, P   +3 more
core  

Partial least squares (PLS) regression and its application to coal analysis

Revista Técnica de la Facultad de Ingeniería, 2010
Instrumental chemical analysis methods use the relationships between a signal obtained and a property (generally a concentration) of the system under study.
Carlos Alciaturi, Marcos Escobar, Carlos De La Cruz, Carlos Rincón   +3 more
doaj  

An empirical study of PLAD regression using the bootstrap [PDF]

, 2018
Partial LAD regression uses the L 1 norm associated with least absolute deviations (LAD) regression while retaining the same algorithmic structure of univariate partial least squares (PLS) regression.
Kondylis, Athanassios, Whittaker, Joe
core  

Expectile Matrix Factorization for Skewed Data Analysis

, 2017
Matrix factorization is a popular approach to solving matrix estimation problems based on partial observations. Existing matrix factorization is based on least squares and aims to yield a low-rank matrix to interpret the conditional sample means given ...
Kong, Linglong, Li, Zongpeng, Niu, Di, Zhu, Rui   +3 more
core   +1 more source