Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Outlying Cell Identification Method Using Interaction Estimates of Log-linear Models

  • Published : 2003.08.01
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Abstract

This work is proposed an alternative identification method of outlying cell which is one of important issues in categorical data analysis. One finds that there is a strong relationship between the location of an outlying cell and the corresponding parameter estimates of the well-fitted log-linear model. Among parameters of log-linear model, an outlying cell is affected by interaction terms rather than main effect terms. Hence one could identify an outlying cell by investigating of parameter estimates in an appropriate log-linear model.

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References

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