Empirical Likelihood for PLSIM with Missing Response Variables and Error-Prone Covariates

Xin Qi; Hongling Chen; Qin Liu

doi:10.1007/978-981-99-0272-9_31

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Empirical Likelihood for PLSIM with Missing Response Variables and Error-Prone Covariates

Xin Qi Hongling Chen Qin Liu

Year: 2023 Communications in computer and information science Pages: 456-470 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-0272-9_31

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Keywords:

Covariate Missing data Empirical likelihood Computer science Data set Set (abstract data type) Data mining Statistics Index (typography) Mathematics Confidence interval Machine learning 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

Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Empirical Likelihood for PLSIM with Missing Response Variables and Error-Prone Covariates

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