Estimation for the Distribution Function of One- and Two-Dimensional Censored Variables or Sojourn Times of Markov Renewal Processes

DOI10.1080/03610920701270956zbMath1128.62093OpenAlexW1986718333MaRDI QIDQ5438315

Odile Pons

Publication date: 23 January 2008

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

Full work available at URL: https://doi.org/10.1080/03610920701270956

zbMATH Keywords

weak convergenceself-consistency equationsdouble censoringbivariate distribution functionfunctional Z-estimators

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Censored data models (62N01) Markov processes: estimation; hidden Markov models (62M05) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Construction of a semi-Markov model for the performance of a football team in the presence of missing data

Cites Work

• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• Kaplan-Meier estimate on the plane
• Weak convergence and empirical processes. With applications to statistics
• Nonparametric estimation based on censored observations of a Markov renewal process

This page was built for publication: Estimation for the Distribution Function of One- and Two-Dimensional Censored Variables or Sojourn Times of Markov Renewal Processes