Asymptotic normality of the nearest neighbor hazard estimates

DOI10.1007/BF02677679zbMath0954.62041OpenAlexW2049759727MaRDI QIDQ1568254

Jiang Lu, Qilin Feng, Ming Gao Gu

Publication date: 18 February 2001

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02677679

zbMATH Keywords

asymptotic normalitydensity functionkernel estimatorhazard functionnearest neighbor estimatecensorship-truncation model

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Cites Work

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• The estimation of the hazard function from randomly censored data by the kernel method
• Locally adaptive hazard smoothing
• The oscillation behavior of empirical processes
• The strong uniform consistency of nearest neighbor density estimates
• Nonparametric inference for a family of counting processes
• Weak and strong quantile representations for randomly truncated data with applications,
• Convergence of increments for cumulative hazard function in a mixed censorship -truncation model with application to hazard estimators
• Almost sure representations of the product-limit estimator for truncated data
• Nonparametric Estimation from Incomplete Observations
• A comparison of hazard rate estimators for left truncated and right censored data
• A Nonparametric Estimate of a Multivariate Density Function
• On Estimation of a Probability Density Function and Mode

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