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Skip to Search Results- 15Parameter estimation
- 2Estimability
- 2Kinetic model
- 2Moving horizon estimation
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- 1Aeration
- 1Baabdulla, Arwa Abdulla
- 1Debnath, Sarupa
- 1Dobson, Peter
- 1Ghosh, Kushankur
- 1Han, Ruijing
- 1Hosseini, Amir Hossein
- 12Graduate and Postdoctoral Studies (GPS), Faculty of
- 12Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 2Huang, Biao (Chemical and Materials Engineering)
- 1Ben-Zvi, Amos (Chemical and Materials Engineering)
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- 1Deutsch, Clayton (Civil and Environmental Engineering)
- 1Hayes, Robert (Chemical and Materials Engineering)
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2003
Kouritzin, Michael, Ma, Xinjian, Long, Hongwei, Sun, Wei
Nonlinear filtering is an important and effective tool for handling estimation of signals when observations are incomplete, distorted, and corrupted. Quite often in real world applications, the signals to be estimated contain unknown parameters which need to be determined. Herein, we develop and...
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Parameter Estimation of Mathematical Models: Estimation of the Burden of HIV Epidemics as a Case Study
DownloadFall 2016
Mathematical models are widely used to describe dynamics in various fields. In practice, it is necessary and important to determine model parameters based on existing data. A major challenge for parameter estimation under modeling framework lies in non-identifiability issue: parameter values on a...
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Fall 2009
Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...
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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...