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Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs
(Genetics and Molecular Research, 2017)
The use of principal components and univariate charts to control multivariate processes
(2008-01-01)
In this article, we evaluate the performance of the T2 chart based on the principal components (PC chart) and the simultaneous univariate control charts based on the original variables (SU X̄ charts) or based on the principal ...
The use of principal components and univariate charts to control multivariate processes
(2008-01-01)
In this article, we evaluate the performance of the T2 chart based on the principal components (PC chart) and the simultaneous univariate control charts based on the original variables (SU X̄ charts) or based on the principal ...
Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Principal Component Analysis Handbook
(Clanrye InternationalJersey City, 2015)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into ...
Principal Component Analysis Handbook
(Clanrye InternationalJersey City, 2015)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into ...
Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries
n this research, the number of patients with Covid-19 and the number of deaths due to
this disease in France, Germany, Iran, Italy, Spain, United Kingdom, and Unites States America
are considered. First, the relations ...
Hydrological responses in equatorial watersheds indicated by Principal Components Analysis (PCA) - study case in Atrato River Basin (Colombia)
(Assoc Brasileira Recursos Hidricos-abrh, 2020-01-01)
The Atrato river basin is located in the Pacific fringe of Colombia, region with one of the highest precipitation rates in the world. The main purpose of this study is to determine the dominant processes in the hydrological ...