Analysis of binary data by empirical logit transformation and the type of Freeman-Tukey inverse sine transformation

경험로지트변환과 Freeman-Tukey형 역정현 변환에 의한 계수치 자료의 해석

  • 김홍준 (대구산업전문대학 산업안전과) ;
  • 채규용 (건국대학교 산업공학과) ;
  • 이상용 (건국대학교 산업공학과)
  • Published : 1997.05.01

Abstract

In case of analysis of discrete data, it shows by way of example orthogonal array experiment for o, 1 data. This paper introduced expirical logit transformation and the type of Freeman-Tukey inverse sine transformation. As the result of analysis of variance, empirical logit transformation turned out a mistake in application but it is possible for graphical analysis by normal probability paper.

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