If you use -bsample- with the option -weight(wvar)- to specify your
bootstrap sample by frequency weights, then you have access to the
original sample, bootstrap sample and omitted observations
simultaneously, as:
<cmd> /*original sample*/
<cmd> [fw=wvar] /*bootstrap sample*/
<cmd> if wvar==0 /*observations omitted from the bootstrap sample*/
Hope this helps
David
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Colin Cooke
Sent: 02 April 2006 01:44
To: [email protected]
Subject: st: 632 bootstrap
Curious if anyone has written a program to implement the .632 bootstrap
in Stata. Im unable to figure out a way to isolate observations that
were not included in the bootstrap sample. Thanks for your help.
-CC
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