Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables

Xiaofeng Lv; Rui Li

doi:10.1007/s10182-013-0210-4

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Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables

Xiaofeng Lv Rui Li

Year: 2013 Journal: AStA Advances in Statistical Analysis Vol: 97 (4)Pages: 317-347 Publisher: Springer Science+Business Media

DOI: 10.1007/s10182-013-0210-4

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Keywords:

Empirical likelihood Mathematics Nonparametric statistics Quantile Quantile regression Inference Statistics Missing data Covariance Statistical inference Asymptotic distribution Covariance matrix Applied mathematics Computer science Confidence interval Estimator Artificial intelligence

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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 Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables

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