本文研究了截断与删失模型,运用Taylor渐近展开方法,得到模型的极大似然估计的中偏差,比渐近正态性结果更加精细.%In this paper, we study a kind of truncated and censored data. It is shown that the maximum likelihood estimator of unknown parameter θ obeys the moderate deviation under certain regular conditions by Taylor asymptotic expansion. We obtain their accurate expression of rate function.
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