科研之友
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摘要
In this paper, we consider a signed-rank estimator of nonlinear regression coefficients under stochastic errors. These errors include a wide array of applications in economic literature such as serial correlation, heteroscedasticity, autoregression, etc. General conditions for strong consistency and root T-asymptotic normality of the resulting estimator are provided.
- 出版日期2014-3
