Partial least squares (PLS-SEM)
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling
... Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, ...
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Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions
... Extending structural equations models based on composites (PLS-SEM) has been widely diffused of late in areas like marketing (Hair, Sarstedt, Ringle & Mena, 2012b; Henseler, Ringle & Sinkovics, 2009; Hult, Hair, ...
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Decoupling Multivariable Processes using Partial Least Squares for Decentralized Control
... proposes Partial Least Squares (PLS), multivariate statistical process control technique (MVSPC), based decoupling strategy to attain satisfactory performance and consistent product quality in spite ...
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Analysis of partial least squares algorithm based on SBM DEA
... increase; ( , x x 1 2 , L , x p ) is the input. Then, (2) is adopted to solve ρ of the decision making unit. For a sample, we call the sample as the effective sample if ρ = 1 , namely, the effective value of the SBM ...
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A Partial Least Squares based algorithm for parsimonious variable selection
... using Partial Least Squares, where the focus is to obtain a hard, and at the same time stable, selection of ...at least as good as three alternative methods, Forward, Lasso and ST-PLS, on the ...
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M-Government Adoption Factors in the UAE: a Partial Least Squares Approach
... This study investigates the factors that influence the intention of citizens of the United Arab Emirates (UAE) to use a mobile government (mGov) platform. The UAE is one of the leading countries that offer this service ...
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Probabilistic partial least squares model: Identifiability, estimation and application
... With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets measured for the same persons. The ...
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Multi-label Classification Using Hypergraph Orthonormalized Partial Least Squares
... Partial Least Squares (HOPLS) for multi-label classification. In particular, each data point is treated as a vertex, and each label indicates a hyper-edge including all data points sharing a common ...
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Extended Locality Preserving Partial Least Squares with Class Information
... The PLS method in its traditional form does not consider the local information of data. To tackle this problem, a new dimension reduc- tion method called Locality preserving partial least squares ...
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Partial least squares based gene expression analysis in renal failure
... detect dysregulated genes. This statistical procedure ignored unaccounted array specific factors, including various biological, environmental factors. Previous studies [7,8] have suggested that partial ...
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Person re identification using partial least squares appearance modelling
... a Partial Least Squares Regression model to predict the skeleton of a person, allowing us to prioritise features from a person’s limbs rather than from the ...
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Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach
... and partial least squares analysis (PLS, Lohmöller 1989) constitute the two corresponding, yet distinctive (Schneeweiß 1991), statistical techniques for assessing cause- effect-relationship-models ...
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Fuel park wastewater monitoring with UV-Vis spectra and partial least squares models
... of Partial Least Squares (PLS) calibration models for the fast determination of parameters legally required at the discharge of a fuel park wastewater treatment plant was attempted using UV-Vis ...
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Speech Emotion Recognition with MPCA and Kernel Partial Least Squares Regression
... Abstract—Speech signal is one of the major means for communication which carries not only semantic, but personal information , such as genders and emotions. The researches about speech emotion have become more and more ...
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Analysis of TCM Data Based on Partial Least Squares within Random Forest
... We compared our improved algorithm (RFR-PLS) to the other three methods, which is the classic Partial Least Squares(PLS), Random Forest(RF) and the method of Fusing Model Tree into Partial ...
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Partial Least Squares in Constructing Candidates Model Averaging Muhammad Arna Ramadhan, Bagus Sartono, Anang Kurnia
... proposed partial least squares model averaging (PLSMA) as an approach to construct candidate models, while partial least squares (PLS) method was applied during that process to ...
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Kernel Partial Least Squares for Stationary Data
... kernel partial least squares estimator to the true regression function when the input data are not independent and identically distributed, but rather stationary time ...
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Modeling individual HRTF tensor using high order partial least squares
... high-order partial least squares (HOPLS), aiming to seek a joint subspace approximation for both the selected parameters and the individual core ...the partial least squares ...
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Determination of Hexazinone in Environmental Samples by Uv-Vis Spectrophotometry-Partial Least Squares Regression
... To define the optimal number of factors required to construct the calibration models, PRESS (Prediction Error Sum of Squares) was drawn in function of the ten factors to be evaluated. The results are shown in ...
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The critical success factors for organizational performance of SMEs in Malaysia: a partial least squares approach
... To investigate the relationship between critical success factors (Top Management Support, Customer Focus, Employee Orientation, Technology Orientation, and Entrepreneurial Orientatio[r] ...
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