Imputed Estimation For Varying Coefficient Models with Missing Covariates

Pei Xin Zhao

doi:10.4028/www.scientific.net/amr.787.1089

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Imputed Estimation For Varying Coefficient Models with Missing Covariates

Pei Xin Zhao

Year: 2013 Journal: Advanced materials research Vol: 787 Pages: 1089-1092 Publisher: Trans Tech Publications

DOI: 10.4028/www.scientific.net/amr.787.1089

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Abstract

By using the imputation-based estimating equation method, an imputed estimation procedure for the coefficient functions is proposed. The proposed procedure can attenuate the effect of the missing data, and performs well for the finite sample.

Keywords:

Imputation (statistics) Missing data Covariate Statistics Estimation Mathematics Sample (material) Econometrics Computer science Engineering

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Imputed Estimation For Varying Coefficient Models with Missing Covariates

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