A self-consistent estimator for interval-valued data

DOI10.1080/02331888.2020.1811282zbMath1468.62264OpenAlexW3081543594MaRDI QIDQ4999848

Minjung Kwak, Johan Lim, Xinlei Wang, Hyejeong Choi

Publication date: 2 July 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2020.1811282

zbMATH Keywords

interval-valued datamarginalizationself-consistent estimatorblood pressure datanonparametric distribution function

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (1)

Survival analysis with censored data: a further twist on ignorability conditions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the convergence properties of the EM algorithm
• A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
• Generalized MLE of a joint distribution function with multivariate interval-censored data
• Data generation processes and statistical management of interval data
• Frequentist and Bayesian approaches for interval-censored data
• Statistical reasoning with set-valued information: ontic vs. epistemic views
• Maximum likelihood for interval censored data: Consistency and computation
• Nonparametric estimation of the bivariate CDF for arbitrarily censored data
• On Consistency of the Self‐Consistent Estimator of Survival Functions with Interval‐Censored Data
• An exploratory data analysis in scale-space for interval-valued data

This page was built for publication: A self-consistent estimator for interval-valued data