Results 1 to 10 of about 7,017 (117)
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
doaj +3 more sources
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
doaj +1 more source
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
openaire +4 more sources
Journal of Multivariate Analysis, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bousebata, Meryem +2 more
openaire +3 more sources
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
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
doaj +1 more source
Do high performance work systems enhance business performance? Examining the mediating influence of total quality management [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 This paper analyses the effect of High-Performance Work Systems (HPWS) and Total Quality Management (TQM) on business performance. An extensive literature review made it possible to establish four hypotheses, along with a comprehensive path model of ...
Emilio Ruiz +3 more
doaj +1 more source
Sensors, 2023 Cannabis is commercially cultivated for both therapeutic and recreational purposes in a growing number of jurisdictions. The main cannabinoids of interest are cannabidiol (CBD) and delta-9 tetrahydrocannabidiol (THC), which have applications in different
Jonathan Tran +4 more
doaj +1 more source
PENERAPAN METODE PARTIAL LEAST SQUARE REGRESSION (PLSR) PADA KASUS SKIZOFRENIA
E-Jurnal Matematika, 2021 Partial Least Square Regression (PLSR) is a method that combines principal component analysis and multiple linear regression, which aims to predict or analyze the dependent variable and more than one independent variable.
NI WAYAN ARI SUNDARI +2 more
doaj +1 more source
Bayesian Sparse Partial Least Squares [PDF]
Neural Computation, 2013 Partial least squares (PLS) is a class of methods that makes use of a set of latent or unobserved variables to model the relation between (typically) two sets of input and output variables, respectively. Several flavors, depending on how the latent variables or components are computed, have been developed over the last years.
Diego Vidaurre +4 more
openaire +6 more sources