کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1146599 957520 2011 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آنالیز عددی
پیش نمایش صفحه اول مقاله
Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model
چکیده انگلیسی

It is natural to assume that a missing-data mechanism depends on latent variables in the analysis of incomplete data in latent variate modeling because latent variables are error-free and represent key notions investigated by applied researchers. Unfortunately, the missing-data mechanism is then not missing at random (NMAR). In this article, a new estimation method is proposed, which leads to consistent and asymptotically normal estimators for all parameters in a linear latent variate model, where the missing mechanism depends on the latent variables and no concrete functional form for the missing-data mechanism is used in estimation. The method to be proposed is a type of multi-sample analysis with or without mean structures, and hence, it is easy to implement. Complete-case analysis is shown to produce consistent estimators for some important parameters in the model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 102, Issue 9, October 2011, Pages 1241–1255
نویسندگان
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