Imputation based statistical inference for partially linear quantile regression models with missing responses

Peixin Zhao; Xinrong Tang

doi:10.1007/s00184-016-0586-8

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Imputation based statistical inference for partially linear quantile regression models with missing responses

Peixin Zhao Xinrong Tang

Year: 2016 Journal: Metrika Vol: 79 (8)Pages: 991-1009 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-016-0586-8

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Keywords:

Mathematics Empirical likelihood Statistics Imputation (statistics) Nonparametric statistics Quantile Confidence interval Missing data Pointwise Quantile regression CDF-based nonparametric confidence interval Coverage probability Inference Econometrics Parametric statistics Computer science Artificial intelligence

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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

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Imputation based statistical inference for partially linear quantile regression models with missing responses

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