논문KCI 등재
The strong consistency of the asymmetric leastsquares estimators in nonlinear censored regression models
대한수학회 (The Korean Mathematical Society)|2003.10|대한수학회논문집 (Communications of the KMS)|제18권 제4호|pp. 703-712
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Abstract
This paper deals with the strong consistency of the asymmetricleast squares for the nonlinear censored regression models whichincludes dependent variables cut off midway by any of externalconditions, and provide the sufficient conditions which ensure thestrong consistency of proposed estimators of the censoredregression models. One example is given to illustrate theapplication of the main result.
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