Useful Links
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
Advanced Resampling Methods
Bootstrap Methods
Non-parametric Bootstrap
Bootstrap Principle
Bootstrap Samples
Bootstrap Distribution
Bootstrap Confidence Intervals
Percentile Method
Bias-Corrected Method
Accelerated Method
Bootstrap-t Method
Bootstrap Hypothesis Testing
Bootstrap p-values
Permutation Bootstrap
Parametric Bootstrap
Model-Based Resampling
Jackknife Methods
Leave-One-Out Jackknife
Bias Estimation
Variance Estimation
Delete-d Jackknife
Generalized Procedure
Permutation Tests
Exact Permutation Tests
Permutation Principle
Exact p-value Calculation
Computational Considerations
Approximate Permutation Tests
Monte Carlo Approximation
Random Sampling of Permutations
Applications to Regression
Permutation F-tests
Permutation t-tests
Previous
7. Non-parametric Regression and Smoothing
Go to top
Next
9. Survival Analysis Methods