The %JACK and %BOOT macros do jackknife and bootstrap analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution.
The %JACK macro does jackknife analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution.
The %BOOT macro does elementary nonparametric bootstrap analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution. Also, for regression models, the %BOOT macro can resample either observations or residuals.
The %BOOTCI macro computes several varieties of confidence intervals that are suitable for sampling distributions that are not normal.
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You most certainly know about Twitter Bootstrap - the popular front end framework for building websites and apps. It favors simple, responsive design, and comes bundled with a sensible default stylesheet, a number of useful jQuery plugins ...
H. Amini, and N. Fountoulakis. Proceedings of the 8th international conference on Internet and Network Economics, page 462--474. Berlin, Heidelberg, Springer-Verlag, (2012)