y_boot.hlp

来自「是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到」· HLP 代码 · 共 64 行

{smcl}
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{help contents:Top}
> {help y_stat:Statistics}
{bind:> {bf:Resampling and simulation}}
{p_end}
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{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
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