Empirical Likelihood Method for General Additive-Multiplicative Hazard Models
DOI10.1080/03610920903168644zbMath1201.62045OpenAlexW2105930993MaRDI QIDQ3058402
Publication date: 22 November 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903168644
likelihood ratio testcontiguous alternativecounting processempirical likelihoodchi-squared distributionright-censored dataadditive-multiplicative hazard
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01)
Related Items (3)
Uses Software
Cites Work
- Empirical likelihood ratio confidence regions
- Empirical likelihood for linear models
- Empirical likelihood confidence intervals for linear regression coefficients
- Empirical likelihood and general estimating equations
- Semiparametric analysis of general additive-multiplicative hazard models for counting processes
- Empirical likelihood inference for linear transformation models
- Empirical likelihood ratio confidence intervals for a single functional
- Empirical likelihood confidence intervals for nonparametric density estimation
- Partial likelihood
- Confidence Interval Estimation of Survival Probabilities for Censored Data
- Semiparametric analysis of the additive risk model
- Semiparametric Analysis for Additive Risk Model via Empirical Likelihood
- Empirical Likelihood for Censored Linear Regression
- EMPIRICAL LIKELIHOOD FOR COX REGRESSION MODEL UNDER RANDOM CENSORSHIP
- Estimating equations, empirical likelihood and constraints on parameters
- Empirical Likelihood Method for Censored Median Regression Models
- Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model
- Statistical models based on counting processes
This page was built for publication: Empirical Likelihood Method for General Additive-Multiplicative Hazard Models