On improving convergence rates for nonnegative kernel failure-rate function estimators

DOI10.1016/0167-7152(87)90076-9zbMath0628.62041OpenAlexW2055318832MaRDI QIDQ1093279

S. K. McCune, E. D. McCune

Publication date: 1987

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(87)90076-9

zbMATH Keywords

mean squared errordensity estimationkernel estimatorgeneralized jackknifebias reductinfailure-rate function estimationimproved rate of convergence

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (1)

New kernel estimators of the hazard ratio and their asymptotic properties

Cites Work

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• On improving convergence rates for nonnegative kernel density estimators
• Remarks on Some Nonparametric Estimates of a Density Function
• Kernel Estimators of the Failure-Rate Function and Density Estimation: An Analogy
• Improvement of Kernel Type Density Estimators
• On Estimation of a Probability Density Function and Mode

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