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作 者:Jun Shao
机构地区:[1]School of Statistics,East China Normal University,Shanghai,People’s Republic of China [2]Department of Statistics,University of Wisconsin-Madison,Madison,WI,USA
出 处:《Statistical Theory and Related Fields》2018年第2期141-142,共2页统计理论及其应用(英文)
基 金:This work was supported by the Chinese 111 Project,the Fundamental Research Funds for the Central Universities and the U.S.National Science Foundation(Directorate for Mathematical and Physical Sciences)grant DMS-1612873.
摘 要:Professors Tang and Ju deserve a warm congratulationfor their great work on a review of statistical inferencefor nonignorable missing data problems. Although theycalled their review ‘a selective review’, it actually coversmost of contemporary advances in the difficult problemof dealing with nonignorable missing data.
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