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文章基本信息

  • 标题:The bivariate current status model
  • 本地全文:下载
  • 作者:Piet Groeneboom
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2013
  • 卷号:7
  • 页码:1783-1805
  • DOI:10.1214/13-EJS824
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:For the univariate current status and, more generally, the interval censoring model, distribution theory has been developed for the maximum likelihood estimator (MLE) and smoothed maximum likelihood estimator (SMLE) of the unknown distribution function, see, e.g., [10, 7, 4, 5, 6, 9, 13] and [11]. For the bivariate current status and interval censoring models distribution theory of this type is still absent and even the rate at which we can expect reasonable estimators to converge is unknown.
  • 关键词:Bivariate current status;bivariate interval cen soring;maximum likelihood estimators;maximum smoothed likelihood es timators;cube root n estimation;asymptotic distribution.
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