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Skip to Search Results- 12Parameter estimation
- 2Kinetic model
- 2Moving horizon estimation
- 2State estimation
- 1Aeration
- 1Agglomerate
- 1Baabdulla, Arwa Abdulla
- 1Debnath, Sarupa
- 1Dobson, Peter
- 1Ghosh, Kushankur
- 1Han, Ruijing
- 1Hosseini, Amir Hossein
- 5Department of Chemical and Materials Engineering
- 2Department of Mathematical and Statistical Sciences
- 1Department of Chemical Engineering
- 1Department of Civil and Environmental Engineering
- 1Department of Computing Science
- 1Department of Educational Psychology
- 2Huang, Biao (Chemical and Materials Engineering)
- 1Ben-Zvi, Amos (Chemical and Materials Engineering)
- 1Biggar, Kevin (Civil and Environmental Engineering)
- 1Deutsch, Clayton (Civil and Environmental Engineering)
- 1Hayes, Robert (Chemical and Materials Engineering)
- 1Hillen, Thomas (Mathematical and Statistical Sciences)
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Fall 2019
Measurements in the process industry can arrive with fast or slow sampling rates. Fast measurements such as flowrate and temperature are sampled frequently and are obtained instantly after sampling. The slow measurements, which are usually related with chemical quality variables such as product...
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Fall 2015
The validity and reliability of a test may be compromised because of the presence of misfitting response patterns in test data. Consequently, the purpose of the present study was to investigate the effects of the inclusion and exclusion of misfitting response patterns on item parameter estimates...