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Bootstrap sampling and estimation
- bootstrap of Stata commands
- bootstrap of user-written programs
- bootstrap coefficients from most estimation commands by adding an option
- bias estimation
- clustered data
- stratified data
- obtain bootstrapped standard errors from most estimation commands by adding an option
- CI/variance estimators
- normal approximation
- percentile
- bias corrected (BC)
- bias corrected and accelerated (BCa)
- post-bootstrapping
- tests of linear and nonlinear combinations of estimates
- linear and nonlinear combinations of estimates with confidence intervals
Random-number generators
- Beta
- Binomial
- χ2
- Gamma
- Hypergeometric
- Negative binomial
- Normal
- Poisson
- Student’s t
- Uniform
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Jackknife estimation
- jackknife Stata commands
- jackknife user-written programs
- jackknife coefficients from most estimation commands by adding an option
- hold one out
- clustered data
- survey data
- obtain jackknifed standard errors from most estimation commands by adding an option
- post-jackknifing
- tests of linear and nonlinear combinations of estimates
- linear and nonlinear combinations of estimates with confidence intervals
Monte Carlo simulation
- Check the performance of statistical methods
- Simulate Stata commands
- Simulate user-written commands
Permutation tests
- stratified data
- one-sided tests
- two-sided tests
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