전체순열검정에서는 데이터를 무작위로 섞고 나누는 대신 실제로 나눌 수 있는 모든 가능한 조
합을 찾는다. 이것은 샘플 크기가 비교적 작을 때만 실용적이다. 셔플링을 많이 반복할수록, 임
의순열검정 결과는 전체순열검정의 결과와 거의 유사하게 근접한다. 전체순열검정은 영모형이
어떤 유의수준 이상으로 더 ‘유의미하다’라는 식의 다소 애매한 결론(
3
.
4
절 참고)이 아닌 좀 더
정확한 결론을 보장하는 통계적 속성 때문에
정확검정
exact
test
이라고도 한다.
부트스트랩 순열검정에서는 무작위 순열검정의
2
단계와
3
단계에서 비복원으로 하던 것을
복원
추출
로 수행한다. 이런 식으로 재표본추출 과정에서 모집단에서 개체를 선택할 때 임의성을 보
장할 ...
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