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

被引：0

作者：

Han-Ying Liang

Jacobo de Uña-Álvarez

机构：

[1] Tongji University,Department of Mathematics

[2] Universidad de Vigo,Department of Statistics and OR, Facultad de Ciencias Económicas y Empresariales

来源：

Metrika | 2010年 / 72卷

关键词：

Asymptotic normality; Truncated data; α-mixing sequence; Conditional mode;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, we establish asymptotic normality of a new kernel estimator of the conditional mode function introduced by Ould-Saïd 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.

引用

页码：1 / 19

页数：18

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