Useful Links
Statistics
Design of Experiments
1. Introduction to Design of Experiments
2. Fundamental Principles of Experimental Design
3. Planning and Conducting Experiments
4. Simple Comparative Experiments
5. Analysis of Variance (ANOVA)
6. Factorial Designs
7. Fractional Factorial Designs
8. Response Surface Methodology
9. Robust Design and Taguchi Methods
10. Advanced and Specialized Designs
11. Statistical Analysis and Model Building
12. Software Tools and Implementation
13. Quality Control and Best Practices
14. Applications and Case Studies
Statistical Analysis and Model Building
Data Preparation and Exploration
Data Cleaning Procedures
Missing Data Handling
Outlier Detection and Treatment
Exploratory Data Analysis
Graphical Methods
Model Specification and Fitting
Linear Models
Generalized Linear Models
Nonlinear Models
Parameter Estimation Methods
Maximum Likelihood Estimation
Model Selection and Validation
Model Selection Criteria
AIC and BIC
Cross-Validation
Prediction Error
Variable Selection Methods
Forward Selection
Backward Elimination
Stepwise Selection
Model Validation Techniques
Overfitting Prevention
Assumption Checking and Diagnostics
Residual Analysis
Influence Diagnostics
Leverage and Cook's Distance
Normality Assessment
Homoscedasticity Testing
Independence Verification
Interpretation and Communication
Effect Size Interpretation
Practical vs. Statistical Significance
Confidence Intervals
Prediction Intervals
Graphical Presentation
Report Writing
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10. Advanced and Specialized Designs
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12. Software Tools and Implementation