Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random

Huybrechts F. Bindele; Yichuan Zhao

doi:10.1007/978-3-319-99389-8_3

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Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random

Huybrechts F. Bindele Yichuan Zhao

Year: 2018 ICSA book series in statistics Pages: 67-86 Publisher: Springer Nature

DOI: 10.1007/978-3-319-99389-8_3

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Keywords:

Estimator Mathematics Rank (graph theory) Asymptotic distribution Statistics Missing data Monte Carlo method Inference Applied mathematics Regression Computer science 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 Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random

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