Multivariate data analysis applied to low-density polyethylene reactors

Chemometrics and Intelligent Laboratory Systems

Volumn 14, Issue 1-3, 1992, Pages 341-356

  Skagerberg, Bert ^a   MacGregor, John F ^b   Kiparissides, Costas ^c  

^a Neste Oil Oyj   (Finland)

^b MCMASTER UNIVERSITY   (Canada)

^c ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

POLYETHYLENE;

CHEMOMETRICS; CONFERENCE PAPER; MULTIVARIATE ANALYSIS; NUCLEAR REACTOR; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 0026511708     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-7439(92)80117-M     Document Type: Article

References (21)

1. Multivariate data analysis in chemistry
2. Principal component analysis
3. Partial least squares regression: A tutorial
4. A theoretical basis for the use of principal component models for monitoring multivariate processes
5. Principal components analysis for monitoring the West Valley Ceramic melter
6. Multivariate computer control of a butane hydrogenolysis reactor: Part II
7. The design of a multivariable model controller for a continuous polybutadiene polymerization train
8. Inferential control of an exothermic packed bed reactor
9. Mathematical modeling and sensitivity analysis of high pressure polyethylene reactors
10. Statistics for Experimenters. An Introduction to Design
11. Cross validatory estimation of the number of components in factor and principal component models
12. PLS regression models
13. Notes on the history and nature of partial least squares modelling
14. Multivariate statistical monitoring of process operating performance
15. Multivariate statistical process control and property inference applied to low density polyethylene reactors
16. Multivariate statistical methods in process analysis and control
17. Multivariate identification: a study of several methods