Results 51 to 60 of about 614,693 (221)

Scaled Predictor Envelopes and Partial Least-Squares Regression [PDF]

Technometrics, 2016
Partial least squares (PLS) is a widely used method for prediction in applied statistics, especially in chemometrics applications. However, PLS is not invariant or equivariant under scale transformations of the predictors, which tends to limit its scope to regressions in which the predictors are measured in the same or similar units. Cook et al. (2013)
Cook, Dennis, Zhihua Su
openaire   +1 more source

Higher-Order Partial Least Squares (HOPLS) : a generalized multi-linear regression method [PDF]

, 2012
A new generalized multilinear regression model, termed the Higher-Order Partial Least Squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) Y from a tensor X through projecting the data onto the latent space and performing ...
Caiafa, Cesar Federico, Chao, Zenas C., Cichocki, Andrzej, Fujii, Naotaka, Mandic, Danilo P., Nagasaka, Yasuo, Zhang, Liqing, Zhao, Qibin   +7 more
core   +4 more sources

The response of water balance components to land cover change based on hydrologic modeling and partial least squares regression (PLSR) analysis in the Upper Awash Basin

, 2019
Study region Upper Awash basin at the headwater of Awash River. Study focus Comprehensive assessment of land cover (LC) change effect on the water balance components using integrated approaches of hydrologic modeling and partial least squares regression (
Alemayehu A. Shawul, Sumedha Chakma, A. Melesse   +2 more
semanticscholar   +1 more source

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

Remote Sensing of Environment, 2019
Spectroscopy is becoming an increasingly powerful tool to alleviate the challenges of traditional measurements of key plant traits at the leaf, canopy, and ecosystem scales.
Katherine Meacham-Hensold, Christopher M Montes, Jin Wu, K. Guan, P. Fu, E. Ainsworth, T. Pederson, C. Moore, Kenny L. Brown, C. Raines, C. Bernacchi   +10 more
semanticscholar   +1 more source

Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate

گۆڤارا زانستێن مرۆڤایەتی یا زانكۆیا زاخۆ, 2022
This paper was dealing with variables for MAS Cement Factory where evince many problems , more than one variable dependent and presence the problem of multicollinearity and so presence the correlation between the predictive variables and the dependent ...
Sherin mohyaldeen, Mohammed Alhassawy
doaj   +1 more source

Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models. [PDF]

المجلة العراقية للعلوم الاحصائية
Outliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating
Mahammad Bazid, taha ali
doaj   +1 more source

Stability indicating analysis of bisacodyl by partial least squares regression, spectral residual augmented classical least squares and support vector regression chemometric models: A comparative study

Bulletin of Faculty of Pharmacy Cairo University, 2011
Partial least squares regression (PLSR), spectral residual augmented classical least squares (SRACLS) and support vector regression (SVR) are three different chemometric models.
Ibrahim A. Naguib
doaj   +1 more source

Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data [PDF]

, 2005
Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data.
Boulesteix, Anne-Laure, Strimmer, Korbinian   +1 more
core   +2 more sources

Improving the Performance of Robust Partial Least Squares Regression Using an Iterative Approach

مجلة الغري للعلوم الاقتصادية والادارية
The robust partial least squares regression method provides a solution to noise and outliers in the estimated models by maximizing the explanation ratios of the independent and dependent variables (determination coefficient). Three proposed methods were
Mahammad Mahmoud Bazid Bazid, Taha Hussein Ali Ali   +1 more
doaj   +1 more source

Optimization of wood flour acetylation by factorial design and partial least squares regression

Química Nova, 2012
Acetylation was performed to reduce the polarity of wood and increase its compatibility with polymer matrices for the production of composites. These reactions were performed first as a function of acetic acid and anhydride concentration in a mixture ...
Lisandra M. K. Nadal, Daniele C. Cararo, Luís A. Pinheiro, Rosilene A. Prestes   +3 more
doaj   +1 more source