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UCB-Type Learning Algorithms with Kaplan-Meier Estimator for Lost-Sales Inventory Models with Lead Times

Operational Research
Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to optimize.
Chengyi Lyu, Huanan Zhang, Linwei Xin
semanticscholar   +1 more source

A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis

arXiv.org
This paper presents a differentially private approach to Kaplan-Meier estimation that achieves accurate survival probability estimates while safeguarding individual privacy.
Narasimha Raghavan Veeraragavan   +2 more
semanticscholar   +1 more source

The Kaplan–Meier estimator and hazard estimator for censored END survival time observations

Communications in Statistics - Theory and Methods, 2020
In this paper, the survival function and hazard rate estimator by the Kaplan–Meier method are considered, where the survival times and censoring times are two sequences of extended negatively dependent.
Yongming Li, Yong Zhou
semanticscholar   +1 more source

Two bias‐corrected Kaplan‐Meier estimators

Quality and Reliability Engineering International, 2021
AbstractThe Kaplan‐Meier estimator (KME) is a classical nonparametric reliability estimator for incomplete data. Although it has been widely used, its two drawbacks have not been addressed well in the literature: (a) as a staircase function, it actually has two reliability estimates for each failure observation, and (b) it is biased. This paper aims to
openaire   +1 more source

Kaplan–Meier representation of competing risk estimates

Statistics & Probability Letters, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Satten, Glen A., Datta, Somnath
openaire   +1 more source

The Jackknife Estimate of a Kaplan-Meier Integral

Biometrika, 1994
Summary: We derive an explicit formula for the jackknife estimate of a Kaplan- Meier integral. From this the asymptotic analysis of the jackknifed Kaplan-Meier process becomes straightforward. In a small simulation study it is demonstrated that jackknifing may lead to a considerable reduction of the bias.
Stute, Winfried, Wang, Jane-Ling
openaire   +2 more sources

Revisit Kaplan–Meier Estimator in Estimating QAL Survival Distributions

Journal of Statistical Theory and Practice, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, J., Li, Y.
openaire   +1 more source

Extensions of the kaplan-meier estimator

Communications in Statistics - Simulation and Computation, 1995
The Kaplan–Meier estimation (KME) (1958) is a popular nonparametric method in analyzing the survival data. Efron (1967) proposes a re-distribution-to-the-right algorithm for right censored data, which can also be re-distributed from right to left by a method of Dinse (1985).
Wei-Ting Kary Chien, Way Kuo
openaire   +1 more source

Counter-intuitive properties of the Kaplan–Meier estimator

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nishikawa, Masako, Tango, Toshiro
openaire   +2 more sources

The multiple imputations based Kaplan–Meier estimator

Statistics & Probability Letters, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

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