Search Results - "multivariate statistics"
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Tensor-based Multivariate Statistical Discriminant Methods for Face Applications
Published 2012“…This paper describes the use of tensor-based multivariate statistical discriminant methods in three-dimensional face applications for synthesis and modelling of face shapes and for recognition. …”
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Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
Published 2012“…In this research, multivariate statistical techniques such as principal component analysis (PCA), reliability analysis (RA) and multivariate regression analysis (MRA) were applied for the development of new quarry dust model. …”
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Fault detection and diagnosis via improved multivariate statistical process control
Published 2005“…Multivariate Statistical Process Control (MSPC) technique has been widely used for fault detection and diagnosis (FDD). …”
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Development of multivariate statistical process monitoring using combination MLR-PCA method
Published 2015“…The most popular types of process monitoring systems is Multivariate Statistical Process Monitoring (MSPM) which has the most practical method in handling the complicated large scale processes. …”
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Improved multivariate statistical process control for chemical process fault detection and diagnosis
Published 2004“…This thesis demonstrates the application of Multivariate Statistical Process Control (MSPC) monitoring method that is capable of detecting and diagnosing process faults. …”
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Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
Published 2015“…This study demonstrates the effectiveness of multivariate statistical method for assessment and interpretation of bulky and complex river water quality data in order to design a better supervision network for successful management of water resources.…”
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Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
Published 2015“…This study demonstrates the effectiveness of multivariate statistical method for assessment and interpretation of bulky and complex river water quality data in order to design a better supervision network for successful management of water resources.…”
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Multivariate statistical techniques for the assessment of seasonal variations in surface water quality of pasture ecosystems
Published 2013“…This study investigates the applicability of multivariate statistical techniques including cluster analysis (CA), discriminant analysis (DA), and factor analysis (FA) for the assessment of seasonal variations in the surface water quality of tropical pastures. …”
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The organic chemistry of plant residues: Comparison of NMR and pyrolysis data using multivariate statistical approaches
Published 2013“…Using non-parametric multivariate statistical approaches we identified similarities between the plant residue data using ordination plots, which enabled us to identify where NMR and py-GCMS distinguished between residues differently. …”
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