Stoichiometric identification with maximum likelihood principal component analysis

2012 ◽  
Vol 67 (4) ◽  
pp. 739-765 ◽  
Author(s):  
Johan Mailier ◽  
Marcel Remy ◽  
Alain Vande Wouwer
Keyword(s):  
Principal Component Analysis ◽  
Maximum Likelihood ◽  
Principal Component ◽  
Component Analysis

Fault Detection Based on a Maximum-Likelihood Principal Component Analysis (PCA) Mixture

2005 ◽  
Vol 44 (7) ◽  
pp. 2316-2327 ◽  
Author(s):  
Sang Wook Choi ◽  
Elaine B. Martin ◽  
A. Julian Morris ◽  
In-Beum Lee
Keyword(s):  
Principal Component Analysis ◽  
Maximum Likelihood ◽  
Fault Detection ◽  
Principal Component ◽  
Component Analysis

scholarly journals Dynamic modeling of hybridoma cell cultures using maximum likelihood principal component analysis

2017 ◽  
Vol 50 (1) ◽  
pp. 12143-12148
Author(s):  
L. Dewasme ◽  
F. Cote ◽  
P. Filee ◽  
A.-L. Hantson ◽  
A. Vande Wouwer
Keyword(s):  
Principal Component Analysis ◽  
Maximum Likelihood ◽  
Dynamic Modeling ◽  
Cell Cultures ◽  
Principal Component ◽  
Component Analysis

scholarly journals A Comparison of Principal Component Analysis and Maximum Likelihood Factor Analysis in Bank Health Ratio

2021 ◽  
Vol 22 (2) ◽  
pp. 147
Author(s):  
Firdaus Firdaus ◽  
Sigit Nugroho ◽  
Haryo Widodo
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Maximum Likelihood ◽  
Principal Component ◽  
Component Analysis ◽  
Extraction Methods ◽  
Financial Ratios ◽  
Financial Ratio ◽  
Matrix Correlation ◽  
Health Ratio

The use of factor analysis methods to reduce variable dimensions is generally known and has been used in various disciplines. The two famous extraction methods of factor analysis are principal component analysis and maximum likelihood. This study aimed to compare both, principal component analysis and maximum likelihood. By their constructed matrix correlation, applied to bank financial ratios. The study is developed from an initial set of 22 ratios of healthy indexed banks. The use of bank financial data aims to identify the structure of the financial ratio of healthy indexed banks. There are 10 variables satisfying the criteria of factor analysis techniques to be considered in the analysis. Both principal component analysis and maximum likelihood suggest three factors that can be used to represent 10 variables.Keywords: factor analysis; principal component analysis; maximum likelihood; financial ratios; bank health.

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