Bootstrap sampling and estimation
Bootstrap Stata commands
Bootstrap user-written programs
Bootstrap coefficients from most estimation commands by adding an option
Bias estimation
Clustered data
Stratified data
Survey data
Obtain bootstrap standard errors from most estimation commands by adding an option
CI/variance estimators
Normal approximation
Percentile
Bias-corrected (BC)
Bias-corrected and accelerated (BCa)
Postbootstrapping
Tests of linear and nonlinear combinations of estimates
Linear and nonlinear combinations of estimates with confidence intervals
Random-number functions
Uniform over interval (0,1)
Uniform over interval (a,b)*
Uniform integers over interval [a,b]*
Standard normal
Normal, mean m and std. deviation 1
Normal, mean m and std. deviation s
Beta
Binomial
Cauchy
Chi-squared
Exponential*
Gamma
Hypergeometric
Inverse Gaussian
Laplace
Logistic, mean m and std. deviation π/√3*
Logistic, mean 0, scale s, std. deviation sπ/√3*
Logistic, mean m, scale s, std. deviation sπ/√3*
Negative binomial
Poisson
Student’s t
Weibull, shape a, scale b*
Weibull, shape a, scale b, location g*
Weibull (proportional hazards), shape a, scale b*
Weibull (proportional hazards), shape a, scale b, location g*
Random-number generators
64-bit Mersenne Twister generator*
Stream version of 64-bit Mersenne Twister
Allow random numbers to be drawn correctly on multiple machines or in multiple processes
Each stream is independent of other streams
When the stream generator is used, all random-number functions automatically become stream enabled.
32-bit KISS generator
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 jackknife standard errors from most estimation commands by adding an option
Postjackknifing
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