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Author:

Guo, Donglin (Guo, Donglin.) | Xue, Liugen (Xue, Liugen.) (Scholars:薛留根) | Hu, Yuqin (Hu, Yuqin.)

Indexed by:

Scopus SCIE

Abstract:

Based on covariate balancing propensity score (CBPS), improved estimators for the regression coefficients and population mean of linear models are obtained, when the responses are missing at random. It is proved that the proposed estimators are asymptotically normal. (C) 2016 Elsevier B.V. All rights reserved.

Keyword:

Augmented inverse probability weighted Missing at random GMM Covariate balancing propensity score Robust estimation Linear model

Author Community:

  • [ 1 ] [Guo, Donglin]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Xue, Liugen]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Hu, Yuqin]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Guo, Donglin]Shangqiu Normal Univ, Sch Math & Informat Sci, Shangqiu 476000, Peoples R China
  • [ 5 ] [Hu, Yuqin]Zhejiang Univ Finance & Econ, Sch Data Sci, Hangzhou 310018, Peoples R China

Reprint Author's Address:

  • [Guo, Donglin]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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Source :

STATISTICS & PROBABILITY LETTERS

ISSN: 0167-7152

Year: 2017

Volume: 123

Page: 139-145

0 . 8 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

ESI HC Threshold:66

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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