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Survival function estimation with non parametric adaptive refined descriptive sampling algorithm: A case study

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Publication:5349124
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DOI10.1080/03610926.2015.1065328zbMath1369.90048OpenAlexW2344039574MaRDI QIDQ5349124

Megdouda Ourbih-Tari, Mahdia Azzal

Publication date: 23 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1065328


zbMATH Keywords

samplingMonte Carlo simulationcase studynon parametric estimation


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (4)

Monte Carlo simulation of ordinary least squares estimator through linear regression adaptive refined descriptive sampling algorithm ⋮ Bayesian autoregressive adaptive refined descriptive sampling algorithm in the Monte Carlo simulation ⋮ Maximum likelihood estimation of parameters of a random variable using Monte Carlo methods ⋮ The use of variance reduction, relative error and bias in testing the performance of M/G/1 retrial queues estimators in Monte Carlo simulation




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