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发帖数: 5352 | 1 ☆─────────────────────────────────────☆
beandragon (beandragon) 于 (Wed Mar 24 12:44:51 2010, 美东) 提到:
When using bootstrapping, we randomly extract a new sample of n heights out
of the N sampled data, where each person can be selected at most t times. By
doing this several times, we create a large number of datasets that we
might have seen and compute the statistic for each of these datasets.
在上面这段描述中，t,n,N之间应该有些什么关系，我觉得t应该是个比较大的值，我们
应该尽量使得挑选的case不会到达t这个极限值，而n也应该比t*N小很多，这样才达到
resampling的目的。但 |
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