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                                       Details for article 7 of 14 found articles
 
 
  Edgeworth Expansion and Bootstrap Approximation for Studentized Product-Limit Estimator with Truncated and Censored Data
 
 
Title: Edgeworth Expansion and Bootstrap Approximation for Studentized Product-Limit Estimator with Truncated and Censored Data
Author: Wang, Qihua
Jing, Bing-Yi
Appeared in: Communications in statistics
Paging: Volume 35 (2006) nr. 4 pages 609-623
Year: 2006-05-01
Contents: The product-limit estimator under left truncation and right censoring was first proposed and shown to be asymptotically normal by Tsai et al. (1987). In this article, we shall develop an Edgeworth expansion for the studentized product-limit estimator. This is achieved by representing the studentized product-limit estimator as a U-statistic plus some negligible remainder terms. The bootstrap is employed to approximate the distribution of the studentized product-limit estimator and shown to be second-order accurate.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 7 of 14 found articles
 
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