Partial least squares modeling of an activated sludge plant: A case study

1997 ◽  
Vol 38 (2) ◽  
pp. 197-208 ◽  
Author(s):  
P. Teppola ◽  
S.P. Mujunen ◽  
P. Minkkinen
Keyword(s):  
Activated Sludge ◽  
Least Squares ◽  
Partial Least Squares

scholarly journals Polymethyl Methacrylate Quality Modeling with Missing Data Using Subspace Based Model Identification

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1691
Author(s):  
Nikesh Patel ◽  
Kavitha Sivanathan ◽  
Prashant Mhaskar
Keyword(s):  
Missing Data ◽  
Least Squares ◽  
Partial Least Squares ◽  
Polymethyl Methacrylate ◽  
Model Identification ◽  
Principal Component ◽  
Quality Modeling ◽  
The Impact ◽  
Quality Measurements

This paper addresses the problem of quality modeling in polymethyl methacrylate (PMMA) production. The key challenge is handling the large amounts of missing quality measurements in each batch due to the time and cost sensitive nature of the measurements. To this end, a missing data subspace algorithm that adapts nonlinear iterative partial least squares (NIPALS) algorithms from both partial least squares (PLS) and principal component analysis (PCA) is utilized to build a data driven dynamic model. The use of NIPALS algorithms allows for the correlation structure of the input–output data to minimize the impact of the large amounts of missing quality measurements. These techniques are utilized in a simulated case study to successfully model the PMMA process in particular, and demonstrate the efficacy of the algorithm to handle the quality prediction problem in general.

scholarly journals Encountering Suffering at Work in Health Religious Organizations: A Partial Least Squares Path Modeling Case-Study

2020 ◽  
Vol 11 ◽  
Author(s):  
Maria Isabel Sánchez-Hernández ◽  
Eduardo Gismera-Tierno ◽  
Jesus Labrador-Fernández ◽  
José Luis Fernández-Fernández
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Religious Organizations ◽  
Path Modeling

How Do Fans Feel? A Case Analysis of Measuring and Modeling Attitudes Using Partial Least Squares Structural Equation Modeling

2016 ◽  
Vol 5 (1) ◽  
pp. 85-88 ◽  
Author(s):  
Lane Wakefield ◽  
Gregg Bennett
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sport Organizations ◽  
Sports Teams ◽  
Know How ◽  
Fan Communities

Virtual fan communities (VFC) have become very popular among fans of sports teams. A VFC provides an online place for fans to meet and discuss the team, consume media, and develop friendships. Students will learn, in this case study, how to use partial least squares structural equation modeling (PLS-SEM) to assess fan attitudes toward the VFC and sponsors of the firm. Students will also learn how sport organizations can benefit from leadership with statistical know-how. The case is fictional, but it is based on an actual research study conducted in conjunction with a prominent virtual fan community in which ownership had an interest in fans’ attitudes toward their service.

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