Estimating a distribution function with truncated data

DOI10.1007/BF02006256zbMath0813.62028OpenAlexW1971225230MaRDI QIDQ5906533

Shu-yuan He

Publication date: 6 June 1995

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02006256

zbMATH Keywords

martingalesstrong consistencynonparametric maximum likelihood estimatortruncated datauniform consistencylaws of the iterated logarithm

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Strong limit theorems (60F15)

Related Items (1)

Asymptotic properties of a conditional quantile estimator with randomly truncated data

Cites Work

• Unnamed Item
• Unnamed Item
• Asymptotic properties of the product limit estimate under random truncation
• Estimating a distribution function with truncated and censored data
• Approximation Theorems of Mathematical Statistics
• Estimating a distribution function with truncated data

This page was built for publication: Estimating a distribution function with truncated data