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http://dx.doi.org/10.4134/CKMS.2003.18.4.703

THE STRONG CONSISTENCY OF THE ASYMMETRIC LEAST SQUARES ESTIMATORS IN NONLINEAR CENSORED REGRESSION MODELS  

Choi, Seung-Hoe (Department of General Studies Hankuk Aviation University)
Kim, Hae-Kyung (Department of Mathematics Yonsei University)
Publication Information
Communications of the Korean Mathematical Society / v.18, no.4, 2003 , pp. 703-712 More about this Journal
Abstract
This paper deals with the strong consistency of the asymmetric least squares for the nonlinear censored regression models which includes dependent variables cut off midway by any of external conditions, 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
nonlinear censored regression model; asymmetric least square estimators; strong consistency;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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[ S.H.Choi;H.Kim ] / Bull. Korean Math. Soc.   과학기술학회마을
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