The impact of different definitions of nearest neighbour distances for censored data on nearest neighbour kernel estimators of the hazard rate
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Publication:3432412
DOI10.1080/10485259508832618zbMath1380.62142OpenAlexW2122102021MaRDI QIDQ3432412
Publication date: 16 April 2007
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259508832618
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Reliability and life testing (62N05)
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A general kernel functional estimator with general bandwidth—strong consistency and applications ⋮ Local linear variable bandwidth hazard rate estimation ⋮ \(k\)NN estimation in functional partial linear modeling ⋮ Consistency of the kernel density estimator: a survey ⋮ Sign test using ranked ordering-set sampling
Cites Work
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- The estimation of the hazard function from randomly censored data by the kernel method
- 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
- A histogram estimator of the hazard rate with censored data
- Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
- Locally adaptive hazard smoothing
- Consistency properties of nearest neighbor density function estimators
- The strong uniform consistency of nearest neighbor density estimates
- Asymptotic confidence bands for densities based on nearest neighbor estimators under censoring
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- A nearest neighbor hazard tare estimator for randomly censored data
- A Nonparametric Estimate of a Multivariate Density Function
- On Estimation of a Probability Density Function and Mode
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