Results 11 to 20 of about 297,317 (304)
Power Of Test Path Analysis and Partial Least Square Analysis [PDF]
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Path analysis Analysis and Partial Least Square (PLS) was used to analyze many variables. Both methods use the least squares method (OLS) that can be compared between the two to determine the best method in a study to get an assessment of the behavior of
Arif Kurniawan +2 more
doaj +2 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
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
Efectivity of Additive Spline for Partial Least Square Method in Regression Model Estimation
Makara Seri Sains, 2005 Additive Spline of Partial Least Square method (ASPL) as one generalization of Partial Least Square (PLS) method. ASPLS method can be acommodation to non linear and multicollinearity case of predictor variables.
Ahmad Bilfarsah
doaj +1 more source
A Fractional Variable Partial Update Least Mean Square Algorithm (FVPULMS) for Communication Channel Estimation [PDF]
Nigerian Journal of Technological Development, 2018 The study presents a study on communication channel estimation algorithms. Fractional Variable Partial Update Least Mean Square algorithm (FVPULMS) is proposed.
A. Omotosho +2 more
doaj +2 more sources
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 +5 more sources
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
Partial least squares for face hashing [PDF]
Neurocomputing, 2016 Face identification is an important research topic due to areas such as its application to surveillance, forensics and human-computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability.
dos Santos, Cassio +3 more
openaire +1 more source
Penalized partial least squares for pleiotropy [PDF]
BMC Bioinformatics, 2021 AbstractBackgroundThe increasing number of genome-wide association studies (GWAS) has revealed several loci that are associated to multiple distinct phenotypes, suggesting the existence of pleiotropic effects. Highlighting these cross-phenotype genetic associations could help to identify and understand common biological mechanisms underlying some ...
Camilo Broc +2 more
openaire +5 more sources