Smooth estimators of the reliability functions for non-restorable elements

DOI10.1007/s11182-014-0290-yMaRDI QIDQ6567811

Gennady M. Koshkin

Publication date: 5 July 2024

Published in: Russian Physics Journal (Search for Journal in Brave)

zbMATH Keywords

asymptotic normalityreliability functioninterval estimationmean square error (MSE)smooth kernel estimator

Mathematics Subject Classification ID

Quantum theory (81-XX)

Cites Work

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• Integrated squared error of kernel-type estimator of distribution function
• The performance of kernel density functions in kernel distribution function estimation
• Some extensions of the asymptotics of a kernel estimator of a distribution function
• Kernel distribution function estimation under the Koziol-Green model
• Bandwidth selection for kernel distribution function estimation
• Smoothing parameter selection for smooth distribution functions
• Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
• Mean intergrated squared error properties and optimal kernels when estimating a diatribution function
• Bandwith selection for the smoothing of distribution functions
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA

Related Items (2)

Semi-parametric and semi-nonparametric estimates of the confidence intervals of quantiles of physical quantity distributions ⋮ Influence of using additional information on the accuracy of estimation of the reliability function characteristics at a finite size of observations

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