Kaplan–Meier estimator and hazard estimator for censored negatively superadditive dependent data
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Publication:5739670
DOI10.1080/02331888.2015.1038269zbMath1343.60027OpenAlexW2288924669MaRDI QIDQ5739670
Publication date: 19 July 2016
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2015.1038269
Kaplan-Meier estimatornegatively superadditive dependent random variablesstrong convergence ratehazard estimator
Nonparametric estimation (62G05) Central limit and other weak theorems (60F05) Strong limit theorems (60F15)
Related Items (6)
A difference-based approach in the partially linear model with dependent errors ⋮ Strong representations of the Kaplan-Meier estimator and hazard estimator with censored widely orthant dependent data ⋮ Equivalent conditions of the complete convergence for weighted sums of NSD random variables ⋮ The Kaplan–Meier estimator and hazard estimator for censored END survival time observations ⋮ Complete moment convergence for partial sums of arrays of rowwise negatively superadditive dependent random variables ⋮ Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors
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- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
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