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Statistica Sinica 4(1994), 187-198


RESAMPLING-BASED ESTIMATOR IN

NONLINEAR REGRESSION


Jie Mong and Xueren Wang


Yunnan University


Abstract: In this paper we suggest a resampling-based estimator (RSE) of nonlinear regression by using Wu's (1986) resampling idea. The RSE is bias-reducing without increasing the variance. Some examples are given using the data of Ratkowsky (1983), and several simulations are also presented.



Key words and phrases: Absolute relative bias, bias reduction, Jackknife-based estimator, nonlinear regression, resampling-based estimator.



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