Confidence Intervals for the Current Status Model
From MaRDI portal
Publication:4637095
DOI10.1111/sjos.12294zbMath1393.62020arXiv1611.08299OpenAlexW2559412716MaRDI QIDQ4637095
Publication date: 17 April 2018
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1611.08299
bootstrapconfidence intervalsmaximum likelihood estimatorsmoothed maximum likelihood estimatorcurrent status
Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)
Related Items
Some developments in the theory of shape constrained inference, Nonparametric shape-restricted regression, Nonparametric estimation of the lifetime and disease onset distributions for a survival-sacrifice model
Cites Work
- Chernoff's distribution and differential equations of parabolic and Airy type
- Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems
- Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model
- Nonparametric confidence intervals for monotone functions
- Inconsistency of bootstrap: the Grenander estimator
- Estimation from current-status data in continuous time
- Effect of bias estimation on coverage accuracy of bootstrap confidence intervals for a probability density
- Model based bootstrap methods for interval censored data
- Likelihood ratio tests for monotone functions.
- Testing equality of functions under monotonicity constraints
- Nonparametric Estimation under Shape Constraints
- Goodness-of-Fit Test for Monotone Functions
- Likelihood Ratio Type Two-Sample Tests for Current Status Data
- Nonparametric Estimation from Incomplete Observations
- Age-Specific Incidence and Prevalence: A Statistical Perspective
- On the Bootstrap of the Maximum Score Estimator
- Confidence Intervals for Current Status Data