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Copula-graphic estimators for the marginal survival function with censoring indicators missing at random

Article ID Journal Published Year Pages File Type
1151355 Statistics & Probability Letters 2015 10 Pages PDF
Abstract

In this paper, we propose three copula-graphic estimators for the survival function with censoring indicators missing at random in the dependent censoring situation and develop their asymptotic properties. Simulations and data analysis are conducted to evaluate their performances.

Keywords
Dependent censoringSurvival functionArchimedean copulamissing at random
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
Copula-graphic estimators for the marginal survival function with censoring indicators missing at random
Authors
Yi Liu, Qihua Wang,
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Journal
Statistics & Probability Letters
Journal: Statistics & Probability Letters
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