Statistical correlation analysis and modelling in quality control
Abstract
The methods of multivariate statistical analysis and their application in quality control of continuous process are introduced. An overview of the methods such as principal component analysis (PCA) and linear partial least squares (PLS) is presented. The statistical correlation analysis between process data and quality variables in the chemical process environment is discussed. A prediction model of quality variables is constructed using the PLS...
Paper Details
Title
Statistical correlation analysis and modelling in quality control
Published Date
Jan 1, 1998
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