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Statistics
Statistical Computing
1. Introduction to Statistical Computing
2. Programming Fundamentals for Statistics
3. Data Management and Manipulation
4. Numerical Methods for Statistics
5. Simulation and Resampling Methods
6. Advanced Computational Methods
7. Statistical Model Implementation
8. Visualization and Communication
9. Software Engineering for Statistics
Simulation and Resampling Methods
Random Number Generation
Pseudo-Random Number Generators
Linear Congruential Generators
Mersenne Twister
Cryptographically Secure Generators
Seed Setting and Reproducibility
Testing Random Number Quality
Uniform Random Variables
Properties of Uniform Distribution
Generating Uniform Variates
Non-Uniform Random Variables
Inverse Transform Method
Acceptance-Rejection Sampling
Composition Methods
Ratio-of-Uniforms Method
Specific Distributions
Normal Distribution
Box-Muller Transform
Polar Method
Ziggurat Algorithm
Exponential Distribution
Gamma Distribution
Beta Distribution
Discrete Distributions
Bernoulli and Binomial
Poisson Distribution
Multinomial Distribution
Monte Carlo Methods
Basic Monte Carlo Simulation
Monte Carlo Integration
Estimating Probabilities
Confidence Intervals for Estimates
Variance Reduction Techniques
Antithetic Variables
Control Variates
Importance Sampling
Stratified Sampling
Applications in Statistics
Estimating Sampling Distributions
Power Analysis
Sensitivity Analysis
Model Validation
Bootstrap Methods
Non-parametric Bootstrap
Bootstrap Sampling
Bootstrap Distribution
Bootstrap Bias Estimation
Bootstrap Variance Estimation
Bootstrap Confidence Intervals
Percentile Method
Bias-Corrected and Accelerated (BCa)
Bootstrap-t Method
Parametric Bootstrap
Model-Based Resampling
Residual Bootstrap
Bootstrap Applications
Regression Diagnostics
Model Selection
Hypothesis Testing
Other Resampling Methods
Jackknife Methods
Leave-One-Out Jackknife
Delete-d Jackknife
Jackknife Bias Correction
Permutation Tests
Exact Permutation Tests
Approximate Permutation Tests
Two-Sample Tests
Correlation Tests
Cross-Validation
k-Fold Cross-Validation
Leave-One-Out Cross-Validation
Stratified Cross-Validation
Time Series Cross-Validation
Model Assessment and Selection
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6. Advanced Computational Methods