UsefulLinks
Statistics
Non-parametric Methods
1. Introduction to Non-parametric Statistics
2. Fundamental Concepts and Tools
3. One-Sample Tests
4. Two-Sample Tests
5. Multiple Sample Tests
6. Measures of Association
7. Non-parametric Regression and Smoothing
8. Advanced Resampling Methods
9. Survival Analysis Methods
10. Multivariate Non-parametric Methods
11. Practical Implementation
12. Advanced Topics and Extensions
11.
Practical Implementation
11.1.
Computational Considerations
11.1.1.
Exact vs. Approximate Methods
11.1.2.
Large Sample Approximations
11.1.3.
Computational Complexity
11.1.4.
Numerical Precision Issues
11.2.
Software Implementation
11.2.1.
R Programming
11.2.1.1.
Base R Functions
11.2.1.2.
Specialized Packages
11.2.1.3.
Custom Implementation
11.2.2.
Python Implementation
11.2.2.1.
SciPy Functions
11.2.2.2.
Specialized Libraries
11.2.2.3.
Custom Algorithms
11.2.3.
Commercial Software
11.2.3.1.
SPSS Procedures
11.2.3.2.
SAS Procedures
11.2.3.3.
Stata Commands
11.3.
Diagnostic and Validation Methods
11.3.1.
Assumption Checking
11.3.1.1.
Graphical Methods
11.3.1.2.
Formal Tests
11.3.2.
Model Validation
11.3.2.1.
Cross-validation
11.3.2.2.
Bootstrap Validation
11.3.3.
Sensitivity Analysis
11.3.3.1.
Robustness Assessment
11.3.3.2.
Outlier Influence
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12. Advanced Topics and Extensions