Smooth estimation of multivariate survival and density functions

DOI10.1016/S0378-3758(01)00231-2zbMath1003.62031OpenAlexW1975911941WikidataQ127549278 ScholiaQ127549278MaRDI QIDQ1600730

Pranab Kumar Sen, Yogendra P. Chaubey

Publication date: 16 June 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(01)00231-2

zbMATH Keywords

Bahadur representationexponential smoothingstrong consistencysurvival functionsHille's theorem

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items

Bernstein-based estimation of the cross ratio function

Uses Software

• KernSmooth

Cites Work

• On near neighbour estimates of a multivariate density
• Kaplan-Meier estimate on the plane
• Kaplan-Meier estimate on the plane: Weak convergence, LIL, and the bootstrap
• Rank tests for matched pair experiments with censored data
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• Smoothing techniques. With implementation in S
• Variable kernel density estimation
• Consistent nonparametric regression. Discussion
• Probability density estimation using delta sequences
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• Estimation of a multivariate density
• Remarks on Some Nonparametric Estimates of a Density Function
• Hazard and density estimation from bivariate censored data
• A Nonparametric Estimate of a Multivariate Density Function
• A Note on Quantiles in Large Samples
• On Estimation of a Probability Density Function and Mode
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