Article ID Journal Published Year Pages File Type
5129852 Statistics & Probability Letters 2017 7 Pages PDF
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.

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Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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Covariate-balancing-propensity-score-based inference for linear models with missing responses
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