Title: Estimating equations under IPW imputation of missing data

Authors: Hao Wu; Cui Cui Li; Chen Cheng

Addresses: Liuzhou Railway Vocational Technology College, Liuzhou 545007, China ' Liuzhou Railway Vocational Technology College, Liuzhou 545007, China ' Liuzhou Railway Vocational Technology College, Liuzhou 545007, China

Abstract: The inverse probability weighted (IPW) imputation method is first applied to compensate for non-response. And then, the empirical likelihood (EL) inference is made for estimation equation parameters. It is a nice result to be obtained in this paper that the limiting distributions of the EL statistics are χ²-type distributions under the IPW imputation. Compared with the usually-used methods, the proposed method is easier to complement and performs more efficient.

Keywords: empirical likelihood; equation estimation; missing data imputation; IPW.

DOI: 10.1504/IJRIS.2021.113032

International Journal of Reasoning-based Intelligent Systems, 2021 Vol.13 No.1, pp.3 - 9

Received: 13 Mar 2019
Accepted: 30 Jun 2019
Published online: 16 Feb 2021 *

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