• 제목/요약/키워드: Freeman-Tukey transformation

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경험로지트변환과 Freeman-Tukey형 역정현 변환에 의한 계수치 자료의 해석 (Analysis of binary data by empirical logit transformation and the type of Freeman-Tukey inverse sine transformation)

  • 김홍준;채규용;이상용
    • 산업경영시스템학회지
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    • 제20권42호
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    • pp.1-8
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    • 1997
  • 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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Model- Data Based Small Area Estimation

  • Shin, Key-Il;Lee, Sang Eun
    • Communications for Statistical Applications and Methods
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    • 제10권3호
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    • pp.637-645
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    • 2003
  • Small area estimation had been studied using data-based methods such as Direct, Indirect, Synthetic methods. However recently, model-based such as based on regression or time series estimation methods are applied to the study. In this paper we investigate a model-data based small area estimation which takes into account the spatial relation among the areas. The Economic Active Population Survey in 2001 are used for analysis and the results from the model based and model-data based estimation are compared with using MSE(Mean squared error), MAE(Mean absolute error) and MB(Mean bias).