Joao Pedro W. de Azevedo
> I would like to know how I can save the bootstraped 95%
> confidence intervals
> of a mean.
> It would be best for me to save this either as a scalar or
> a local, since I
> will be using these values to generate a special tabulation
> of several
> variables.
>
> bootstrap "summarize mpg, detail" r(mean), reps(1000)
>
> Bootstrap statistics Number of obs =
> 74
> Replications =
> 1000
>
> ------------------------------------------------------------
> ----------------
> --
> Variable | Reps Observed Bias Std. Err. [95%
> Conf. Interval]
> -------------+----------------------------------------------
> ----------------
> --
> _bs_1 | 1000 21.43243 -.0398646 .7065564
> 20.04593 22.81894
> (N)
> |
> 20.06757 22.7973
> (P)
> |
> 20.14865 22.85135
> (BC)
> ------------------------------------------------------------
> ----------------
> --
> Note: N = normal
> P = percentile
> BC = bias-corrected
I would guess neither of these. If the output is to
be a table, then it is easiest to store what you want
in variables.
By the way, to bootstrap means, "summarize mpg, meanonly"
is the example to follow. Far less computation.
Nick
[email protected]
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