Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Simplicial Regression Depth with Censored and Truncated Data

  • Park, Jinho (Department of Statistics, Inha University)
  • Published : 2003.04.01
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Abstract

In this paper we develop a robust procedure to estimate regression coefficients for a linear model with censored and truncated data based on simplicial regression depth. Simplicial depth of a point is defined as the proportion of data simplices containing it. This simplicial depth can be extended to regression problem with censored and truncated data. Any line can be given a depth and the deepest regression line is the line with the maximum simplicial regression depth. We show how the proposed regression performs through analyzing AIDS incubation data.

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References

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