Convergence of increments for cumulative hazard function in a mixed censorship -truncation model with application to hazard estimators
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Publication:1892970
DOI10.1016/0167-7152(94)00105-HzbMath0819.62042OpenAlexW2040751141MaRDI QIDQ1892970
Publication date: 30 August 1995
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(94)00105-h
survival analysisright censoringcumulative hazard functionleft truncationconvergence of incrementshazard estimatesnearest-neighbor type estimatorrate of convergence theorem
Related Items (6)
Wavelet estimation of conditional density with truncated, censored and dependent data ⋮ Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data ⋮ Asymptotic behavior of the Lipschitz-1/2 modulus of the PL-process for truncated and censored data. ⋮ LIMIT THEOREMS FOR ASYMPTOTICALLY MINIMAX ESTIMATION OF A DISTRIBUTION WITH INCREASING FAILURE RATE UNDER A RANDOM MIXED CENSORSHIP/TRUNCATION MODEL ⋮ Asymptotic normality of the nearest neighbor hazard estimates ⋮ Strong limit theorems for osciallation moduli of PL-process and cumulative hazard process under truncation and censorship with applications
Cites Work
- A note on the variable kernel estimator of the hazard function from randomly censored data
- Probability inequalities for empirical processes and a law of the iterated logarithm
- A note on data-adaptive kernel estimation of the hazard and density function in the random censorship situation
- Local convergence of empirical measures in the random censorship situation with application to density and rate estimators
- The oscillation behavior of empirical processes
- A law of the logarithm for kernel density estimators
- Estimating a distribution function with truncated and censored data
- Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
- Random truncation models and Markov processes
- Nonparametric Estimation from Incomplete Observations
- A note on the product-limit estimator under right censoring and left truncation
- Product limit estimates: a generalized maximum likelihood study
- A comparison of hazard rate estimators for left truncated and right censored data
- Probability Inequalities for Sums of Bounded Random Variables
- Estimating a distribution function with truncated data
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