Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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The Strong Consistency of Regression Quantiles Estimators in Nonlinear Censored Regression Models

  • Choi, Seung-Hoe (Department of General Studies, Hankuk Aviation University)
  • Published : 2002.04.30
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Abstract

In this paper, we consider the strong consistency of the regression quantiles estimators for the nonlinear regression models when dependent variables are subject to censoring, and provide the sufficient conditions which ensure the strong consistency of proposed estimators of the censored regression models. one example is given to illustrate the application of the main result.

Keywords

References

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