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Asymptotic normality for estimator of conditional mode under left-truncated and dependent observations

机译:左截断和从属观测条件下条件模式估计量的渐近正态性

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摘要

In this paper, we establish asymptotic normality of a new kernel estimator of the conditional mode function introduced by Ould-Sa?d and Tatachak (C R Acad Sci Paris Ser I 344:651-656, 2007) for the left-truncation model when the data exhibit some kind of dependence. It is assumed that the lifetime observations with multivariate covariates form a stationary α-mixing sequence.
机译:在本文中,我们建立了由Ould-Sa?d和Tatachak(CR Acad Sci Paris Ser I 344:651-656,2007)引入的由Ould-Sa?d和Tatachak引入的条件模式函数的新核估计的渐近正态性。数据表现出某种依赖性。假定具有多元协变量的寿命观测值形成平稳的α混合序列。

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