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Wang, Q., Linton, O. and Hardle, W. (2004) Semiparametric Regression Analysis with Missing Response at Random. Journal of the American Statistical Association, 99, 334-345.
https://doi.org/10.1198/016214504000000449

has been cited by the following article:

• TITLE: Strong Consistency of Estimators under Missing Responses

  AUTHORS: Linran Zhang, Jingjing Zhang

  KEYWORDS: Semi-Parametric Model, Error-in-Variables, Missing Responses, Strong Consistency

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.1, January 15, 2019

  ABSTRACT: In this article, we focus on the semi-parametric error-in-variables model with missing responses: , where yi are the response variables missing at random, are design points, ζi are the potential variables observed with measurement errors μi, the unknown slope parameter ßand nonparametric component g(·) need to be estimated. Here we choose two different approaches to estimate ßand g(·). Under appropriate conditions, we study the strong consistency for the proposed estimators.