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作者:

Luo, Guowang (Luo, Guowang.) | Wu, Mixia (Wu, Mixia.) (学者:吴密霞) | Xu, Liwen (Xu, Liwen.)

收录:

SSCI SCIE

摘要:

In this paper, an IPW-based robust estimator is developed for the spatial autoregressive model with response missing at random. Its consistency and asymptotical normality are proved and its finite-sample performance is investigated by simulations. (C) 2021 Elsevier B.V. All rights reserved.

关键词:

Autoregressive model Instrumental variable Missing data Propensity score Spatial data

作者机构:

  • [ 1 ] [Luo, Guowang]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Wu, Mixia]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Xu, Liwen]North China Univ Technol, Coll Sci, Beijing 100042, Peoples R China

通讯作者信息:

  • 吴密霞

    [Wu, Mixia]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China

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来源 :

STATISTICS & PROBABILITY LETTERS

ISSN: 0167-7152

年份: 2021

卷: 172

0 . 8 0 0

JCR@2022

ESI学科: MATHEMATICS;

ESI高被引阀值:5

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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