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General
Uncertainties of predictions
Practice
Paper (PDF)
Trends and develoments
Summary
New horizons in industrial statistics
Latent structure of solutions
Summary
Paper (PDF)
Industrial data and applications
Summary
Paper (PDF)
Predictions based on industrial data
Summary
Paper (PDF)
H-method
Background for the H-method
Basic tasks
Prediction variance
Fit & model precision
Mean squared error
Significance testing
Case study (PDF)
Formulation
Decomposition of data
Summary
History
Heisenberg & Bohr
Herman Wold
Harald & Svante
Methods
Weighing procedures
Summary
Tutorial
Linear Regression. Basic methods
Summary
Tutorial
Linear Regression.
Specialized
methods
Summary
Tutorial
Process control
. Basic methods
Summary
Tutorial
Process control
. Advanced methods
Summary
Tutorial
Multi-block methods
Summary
Tutorial
Path Modelling
Summary
Tutorial
Classification procedures
Summary
Tutorial
Classification and regression
Summary
Tutorial
Multi-way data analysis
Summary
Tutorial
Regression analysis using multi-way data
Summary
Tutorial
Non-linear methods
Summary
Tutorial
Low-dimensional polynomial surface
Summary
Tutorial
Optimal response methods
Summary
Tutorial
Graphics
H-methods and graphic analysis
Summary
Paper(PDF)
Vectors in algorithms
PCA type of graphics
Linear regression
Ridge regression
Mixed models
Process control
Modelling issues
Pre-processing data
Centering and scaling
Paper (PDF)
Subset selection of variables
Standard procedures
CovProc methods
Analysis of risiduals
Demos
PCA-type of analysis
Regression
Algorithms
Some useful algorithms
PhD-course
Author
Recent publications
Recent lectures at conferences
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