Partial Least Square
A Study on Rapid Non-destructive Detection of Eugenol in Caryophylli Flos by NIR Spectroscopy and Partial Least Square
... A method for rapid non-destructive detection of eugenol in caryophylli flos was developed with near-infrared spectroscopy and chemometrics. One hundred and three samples were collected, and gas chromatography with ...
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A PARAMETRIC APPROACH TO PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELING OF MULTIGROUP ANALYSIS (PLS-MGA)
... Partial Least Square Multi-group-Analysis (PLS-MGA) can be known as moderating effect to moderates the causal effect between exogenous and endogenous constructs (Afthanorhan & Ahmad, ...
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Temperature and Humidity Forecast via Univariate Partial Least Square and Principal Component Analysis
... (Partial Least Square) is an efficient statistical method for predicting a small data sample with a lot of variables that might be correlated with each ...
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Model Behavior Development of User Transportation With Partial Least Square (PLS) In Semarang Indonesia
... Testing models of behavior analysis performed with the approach of Structural Equation Model (SEM) is by using software Partial Least Square (PLS). PLS is a structural equation model (SEM) based ...
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COMPETITIVE STRATEGY AND ITS IMPACT ON HOTEL PERFORMANCE: A PARTIAL LEAST SQUARE APPROACH ON HOTEL MANAGERS IN BALI, INDONESIA
... The model test was required before the third hypothesis test conducted. Test model of research in Partial Least Square-Structural Equation Modelling can be done through the outer and inner models. ...
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Factors influencing in Islamic banking selection in Indonesia using partial least square-structural equation modelling
... Walaupun Indonesia mempunyai bilangan penduduk Islam yang besar di dunia, namun penguasaan pasaran perbankan Islam di Indonesia cuma mewakili lima peratus daripada sistem perbankan keseluruhannya. Oleh itu, usaha untuk ...
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A novel exploratory chemometric approach to environmental monitorring by combining block clustering with Partial Least Square (PLS) analysis
... at least three- fold higher than the number of variables [15]. Partial least square (PLS) may represent a solution where such multivariate methods ...
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Partial Least Square Path analysis of knowledge, Attitude and Practice Regarding Dengue
... Introduction: Knowledge, attitude and practices regarding dengue are latent variables which are substantiated through manifest variables. The manifest variables that form the indicative construct of knowledge, attitude ...
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Partial Least Square Approach to Second Order Factor in Behavioural Study of Accounting Information System
... As partial least square (PLS) gains its tractions in theory development, behavioural accounting discipline in general should exploit the flexibility of PLS to work with the higher-order ...
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Partial Least Square Model in Community Education Management
... developing. The objective of this study is to examine local resources that the Community Learning Center (Pusat Kegiatan Belajar Masyarakat or PKBM) can benefit from; this is to improve the competitiveness of such ...
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... Chinese tax revenue is non-linear and coupled, and is influenced by many factors. Therefore, traditional forecasting methods are not sufficient to predict the value of it. In this paper, disadvantages of the existing ...
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Application of partial least square in predicting e-entrepreneurial intention among business students: evidence from Pakistan
... Entrepreneurial attitude orientation model in coincidence with e-entrepreneurial intention support that model works in building undergraduates intention toward starting online business. Statistical facts revealed that ...
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Acceptance towards Goods and Services Tax (GST) and Quality of Life: Antecedent and outcome using partial least square method
... Knowledge and acceptance of the pros and cons of GST implementation are thus critical in determining how the general public would perceive the tax reform and the impacts on the quality of life. Thus, the objective of the ...
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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH
... overnment of India’s push towards digital transactions after demonitisation has led to flooding of financial mobile apps of banks and private corporations in the app stores. Among the panoply of financial mobile apps, ...
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A Kernel Partial Least Square Based Feature Selection Method
... Kernel Partial Least Square (KPLS) based mRMR method, aiming for easy computation and improving classification accuracy for high-dimensional ...
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The Moderating Role of Government Policies on the Relationship between Technology, Innovation and Entrepreneurship Development in Nigeria: A Partial Least Square Approach
... Abstract Given the economic realities in Nigeria, the country must constantly create new jobs, and diversify the industrial and commercial sector to take advantage of human and natural resources through entrepreneurship ...
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Partial Least Square – Structural Equation Model for Effect of Employee Engagement on Job Satisfaction and Job Performance in Automobile Industries
... The partial least square Structural Equation modeling is carried out in SMART PLS 3 software. The formulated structural equation model is given in the figure 1. Bootstrapping with complete ...
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An opinion mining Partial Least Square Path Modeling for football betting
... Abstract. In the last few years, football betting had known a large ex- pansion in the world, using different ways to try to guess and predict the unknown in the sport. Every time, people try to prognosticate the results ...
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Partial least square regression applied to the QTLMAS 2010 dataset
... Figure 1 shows the smoothed curve of the negative loga- rithm of the significances in the single marker analyses. QTL for the continuous trait were located on chromo- somes 1 and 3 with smaller QTL on all chromosomes. ...
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Decision-making in healthcare: a practical application of partial least square path modelling to coverage of newborn screening programmes
... At the level of the structural model, the path coefficients were evaluated first in terms of sign and significance. They reflect the standardized beta coefficients for which asymptotic t-statistics were computed from the ...
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