On the Nonparametric Mean Residual Life Estimator in Length-biased Sampling

DOI10.1080/03610926.2012.748328zbMath1311.62045OpenAlexW2067418617MaRDI QIDQ5249206

Vahid Fakoor

Publication date: 29 April 2015

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

Full work available at URL: https://doi.org/10.1080/03610926.2012.748328

zbMATH Keywords

weak convergencemean residual lifestrong uniform consistencylength-biased

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (7)

Kernel estimation of entropy function under length-biased sampling ⋮ The MRL function inference through empirical likelihood in length-biased sampling ⋮ Nonparametric inference on mean residual life function with length-biased right-censored data ⋮ A note on the strong consistency of nonparametric estimation of Shannon entropy in length-biased sampling ⋮ Estimation of the mean residual life function in the presence of measurement errors ⋮ Analyzing the general biased data by additive risk model ⋮ New empirical likelihood inference for the mean residual life with length-biased and right-censored data

Cites Work

• Unnamed Item
• Nonparametric estimation in the presence of length bias
• Nonparametric estimation in renewal processes
• Estimation of a biometric function
• Mean residual life processes
• Nonparametric estimation under length-biased sampling and type I censoring: A moment based approach
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
• UNIFORM ASYMPTOTICS IN THE EMPIRICAL MEAN RESIDUAL LIFE PROCESS

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