A goodness of fit test for the survival function under random right censoring
From MaRDI portal
Publication:372139
DOI10.1214/13-EJS853zbMath1294.62091OpenAlexW2059547067MaRDI QIDQ372139
Dimitrios Ioannides, Dimitrios Bagkavos, Aglaia G. Kalamatianou
Publication date: 14 October 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1381239961
Related Items (2)
A goodness of fit test for the survival function under random right censoring ⋮ Efficient estimation of a distribution function based on censored data
Cites Work
- Unnamed Item
- A goodness of fit test for the survival function under random right censoring
- Central limit theorem for integrated square error of multivariate nonparametric density estimators
- The \(\beta\)-Birnbaum-Saunders distribution: an improved distribution for fatigue life modeling
- A new lifetime distribution
- A two-parameter lifetime distribution with decreasing failure rate
- Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
- Integrated square error of nonparametric estimators of regression function: The fixed design case
- A lifetime distribution with decreasing failure rate
- Families of smooth confidence bands for the survival function under the general random censorship model
- Smooth confidence intervals for the survival function under random right censoring
- CDF and survival function estimation with infinite-order kernels
- Asymptotics for general multivariate kernel density derivative estimators
- Nonparametric Estimation from Incomplete Observations
- Non-parametric hazard function estimation using the Kaplan–Meier estimator
- Testing Hypotheses about the Shape Parameter of a Gamma Distribution
- Invariant Exponential Models Applied to Reliability Theory and Survival Analysis
- Goodness of Fit Tests for the Gamma and Exponential Distributions
This page was built for publication: A goodness of fit test for the survival function under random right censoring