The Moderating Effect of Gender Role in Relationship Between Emotional Divorce and Marital Satisfaction: Comparison of Partial Least Square (PLS) and Consistent Partial Least Square Methods (PlSc) Methods [PDF]
Journal of Family and Reproductive HealthObjective: Emotional divorce refers to a state of emotional disengagement from one's spouse, which can lead to marital dissatisfaction. Gender role conflict is a predictor of marital dissatisfaction and ultimately, divorce.
Farideh Khosravi +3 more
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Partial Least Square Aided Beamforming Algorithm in Magnetoencephalography Source Imaging [PDF]
Frontiers in Neuroscience, 2018 Beamforming techniques have played a prominent role in source imaging in neuroimaging and in locating epileptogenic zones. However, existing vector-beamformers are sensitive to noise on localization of epileptogenic zones.
Yegang Hu +11 more
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Modified partial least square structural equation model with multivariate adaptive regression spline: Parameter estimation technique and applications [PDF]
MethodsXPartial Least Squares Structural Equation Modelling (PLS-SEM) struggles with nonlinear relationships between latent variables, leading to biased results.
Hendra H. Dukalang +2 more
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Indirect effect of psychological capital by using Partial Least Square (PLS) path analysis [PDF]
MethodsXUnderstanding the relationship between Learned Helplessness (LH) and Psychological Capital (PsyCap) is essential for developing effective interventions for Indigenous adolescents.
Nanthini Balu, Maya Rathnasabapathy
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Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square Regression
Remote Sensing, 2015 Improper use of land resources may result in severe soil salinization. Timely monitoring and early warning of soil salinity is in urgent need for sustainable development.
Xingwang Fan +3 more
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Geographic information systems adoption model: A partial least square-structural equation modeling analysis approach [PDF]
HeliyonThe ability of Geographic Information System (GIS) to organize, analyze, visualize and integrate spatial data has been at the top of its primary uses among professional industries.
Nouf Abdulaziz Alzahrani +6 more
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A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling [PDF]
International Journal of Data and Network Science, 2022 Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator.
Raudhah Zulkifli +3 more
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Integrative sparse partial least squares [PDF]
Statistics in Medicine, 2021 Partial least squares, as a dimension reduction technique, has become increasingly important for its ability to deal with problems with a large number of variables. Since noisy variables may weaken estimation performance, the sparse partial least squares (SPLS) technique has been proposed to identify important variables and generate more interpretable ...
Weijuan Liang +3 more
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Fault identification for chiller sensor based on partial least square method [PDF]
E3S Web of Conferences, 2021 Sensor failures can lead to an imbalance in heating, ventilation and air conditioning (HVAC) control systems and increase energy consumption. The partial least squares algorithm is a multivariate statistical method, compared with the principal component ...
Wu Bang +4 more
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Journal of Multivariate Analysis, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bousebata, Meryem +2 more
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