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Confidence Intervals : The percentile method

As before we denote by tex2html_wrap_inline1214 the bootstrap distribution of tex2html_wrap_inline1216 , approximated by

displaymath1218

The percentile method consists in taking the tex2html_wrap_inline1266 confidence interval for tex2html_wrap_inline1140 as being

displaymath1270

Theoretically speaking this is equivalent to replacement of the unknown distribution tex2html_wrap_inline1272 by the estimate tex2html_wrap_inline1274 .

tex2html_wrap1290 :

  1. Input the level tex2html_wrap_inline1276 of the confidence interval
  2. For b=1 to B do /* B is the number of bootstrap samples*/
  3. For i=1 to n do /* Generation of Sample tex2html_wrap_inline1278 */
    1. OBS=RANINT(1,n)
    2. Add observation number OBS to the Sample tex2html_wrap_inline1278
  4. Compute tex2html_wrap_inline1282
  5. Combine the tex2html_wrap_inline1282 into a new data set THETA
  6. Compute the tex2html_wrap_inline1286 and tex2html_wrap_inline1288 'th quantiles for THETA.
An example of the implementation of this method in SAS and S for the correlation coefficient of the law-school data can be found in the Appendix .



Prof. Susan Holmes
Tue Mar 24 14:40:11 EST 1998