📄 y_boot.hlp
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{smcl}
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{help contents:Top}
> {help y_stat:Statistics}
{bind:> {bf:Resampling and simulation}}
{p_end}
{hline}
{title:Help file listings}
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{bf:{help bootstrap:Bootstrap sampling and estimation}}{break}
{cmd:bootstrap} runs the user-specified command, bootstrapping the
statistics specified
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{bf:{help bstat:Report bootstrap results}}{break}
computes and displays estimation results from bootstrap statistics
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{bf:{help bsample:Draw a boostrap sample}}{break}
draws a bootstrap sample with replacement from the existing data
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{bf:{help jackknife:Jackknife estimation}}{break}
{cmd:jackknife} performs jackknife estimation
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{bf:{help rolling:Rolling window and recursive estimation}}{break}
samples on time periods of fixed or expanding length
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{bf:{help vce_option:Variance-covariance estimators}}{break}
the {cmd:vce()} option to many estimation commands for estimating
the variance-covariance matrix
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{bf:{help simulate:Monte Carlo simulations}}{break}
{cmd:simulate} eases the programming tasks of performing Monte Carlo
type simulations ...
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{bf:{help permute:Monte Carlo permutation tests}}{break}
{cmd:permute} estimates p-values for permutation tests based on Monte
Carlo simulations
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{bf:{help random_number_functions:Draw random numbers from Rectangular(0,1) distribution}}{break}
{cmd:uniform()} function; used with inverse cumulatives, can
draw from other distributions; e.g., {cmd:invnorm(uniform())}
draws from N(0,1)
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{bf:{help drawnorm:Draw sample from multivariate normal distribution}}{break}
draw sample with desired means and covariance
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{bf:{help exp_list:Expression lists in resampling and simulation commands}}{break}
outlines the type of expression lists that can be used in resampling
and simulation commands
INCLUDE help ypostnote
{hline}
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