Estimation in a partially linear single-index model with missing response variables and error-prone covariates

Xin Qi; Dehui Wang

doi:10.1186/s13660-015-0941-8

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Estimation in a partially linear single-index model with missing response variables and error-prone covariates

Xin Qi Dehui Wang

Year: 2016 Journal: Journal of Inequalities and Applications Vol: 2016 (1) Publisher: Springer Science+Business Media

DOI: 10.1186/s13660-015-0941-8

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Keywords:

Mathematics Covariate Statistics Estimator Imputation (statistics) Missing data Single-index model Nonparametric statistics Index (typography) Linear regression Mean squared error Applied mathematics Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Estimation in a partially linear single-index model with missing response variables and error-prone covariates

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