Process Control and Statistics: Difference between revisions
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MSPC and Identification of Finite Impulse Response Models. | MSPC and Identification of Finite Impulse Response Models. | ||
See Also | See Also [[Exploratory_Analysis|Exploratory Analysis]] | ||
:[[residuallimit]] - Estimates confidence limits for sum squared residuals. | :[[residuallimit]] - Estimates confidence limits for sum squared residuals. | ||
:[[tsqlim]] - Confidence limits for Hotelling's T^2. | :[[tsqlim]] - Confidence limits for Hotelling's T^2. | ||
:[[batchalign]] - Convert data columns based on matching ref col to target vector. | |||
:[[batchdigester]] - Parse wafer or batch data into MPCA or Summary PCA form. | :[[batchdigester]] - Parse wafer or batch data into MPCA or Summary PCA form. | ||
:[[batchfold]] - Transform batch data into dataset for analysis. | |||
:[[batchmaturity]] - Batch process model and monitoring. | |||
:[[bspcgui]] - Batch Processor GUI. | |||
:[[autocor]] - Auto-correlation function for time series data. | :[[autocor]] - Auto-correlation function for time series data. | ||
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:[[replace]] - Replaces variables based on PCA or PLS models. | :[[replace]] - Replaces variables based on PCA or PLS models. | ||
:[[wrtpulse]] - Create input/output matrices for dynamic model identification. | :[[wrtpulse]] - Create input/output matrices for dynamic model identification. | ||
(Sub topic of [[PLS_Toolbox_Topics|PLS_Toolbox_Topics]]) | |||
Latest revision as of 12:51, 25 October 2012
MSPC and Identification of Finite Impulse Response Models. See Also Exploratory Analysis
- residuallimit - Estimates confidence limits for sum squared residuals.
- tsqlim - Confidence limits for Hotelling's T^2.
- batchalign - Convert data columns based on matching ref col to target vector.
- batchdigester - Parse wafer or batch data into MPCA or Summary PCA form.
- batchfold - Transform batch data into dataset for analysis.
- batchmaturity - Batch process model and monitoring.
- bspcgui - Batch Processor GUI.
- autocor - Auto-correlation function for time series data.
- crosscor - Cross-correlation function for time series data.
- fir2ss - Transform FIR model into equivalent state space model.
- plspulsm - Identifies FIR dynamics models for MISO systems.
- plsrsgcv - Generate PLS models for MSPC with cross-validation.
- plsrsgn - Generates a matrix of PLS models for MSPC.
- replace - Replaces variables based on PCA or PLS models.
- wrtpulse - Create input/output matrices for dynamic model identification.
(Sub topic of PLS_Toolbox_Topics)