Curriculum Water Science - Water Chemistry
Seminar Handouts
- Adaptive Cluster Sampling
- Experimental design and optimization - Fundamentals of experimental designs
- Independent Component Analysis
- k-Nearest Neighbor Classification
- Kriging
- Linear Discriminant Analysis
- Multiclass classifications
- Principal Component Analysis (PCA)-graphical Interpretation
- Response Surface Method
- Sampling Statistics
- Simplex Optimization
- Types of sampling and their description
- Sampling grids and what is their purpose
- SIMCA (Soft Independent Modeling of Class Analogies)
- Tree-based classification
- Coding and Decoding of Factors
- Multivariate Linear Regression (MvLR)
- Box-Behnken Design