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Lognormal kernel estimator of the hazard rate function

Communications in Statistics - Simulation and Computation, 2021
Estimating the hazard rate function, which is one of the most important ways for representing the lifetime distribution in the survival analysis, has been studied by many researchers.
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Improved Methods of Hazard Rate Function Calculation Using Saddlepoint Approximations

Lobachevskii Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An engineering approach to hazard rate distribution functions.

Journal of Aircraft, 1969
A method is presented for deriving an empirical function of component hazard rates from unit time and failure histories. The probability distribution of the mean hazard rate over a selected interval is derived, together with an excellent approximation which may be used for obtaining confidence statements or conducting simulation studies. The method has
JACK W. NICHOLAS, DIANA J. GASKELL
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Hazardous Failure Rate of the Safety Function

2015
Quantitative assessment of safety function integrity against random failures is necessary assumption for railway signalling system acceptance and its implementation into operation. The railway signalling system can be modelled as continuous mode system and therefore the criterion for quantitative assessment safety integrity of safety function is ...
Karol Rástočný, Juraj Ždánsky
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Bayesian estimation of reliability function and hazard rate

Microelectronics Reliability, 1991
Abstract The Bayes estimates of reliability function and hazard rate function of the finite range failure model have been developed based on life tests that are terminated at a preassigned time point or after a certain number of failures have occurred, taking the order of observations into consideration.
S.A. Siddiqui, Sanjeev Kumar
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GENERALIZED GAMMA TYPE DISTRIBUTION AND ITS HAZARD RATE FUNCTION

Communications in Statistics - Theory and Methods, 2001
A new generalized gamma distribution is defined involving a parameter δ = λ − 1; λ ≥ 0 in the Kobayashi's (1991) function Γλ(m,n). The parameter δ will relax the restriction on the parameter λ > 0 in all probability distributions using Kobayashi's (1991) type functions.
Satish K. Agarwal, Jamal A. Al-Saleh
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An estimator for the generalized hazard rate function

Communications in Statistics - Theory and Methods, 1979
An estimator of the generalized hazard rate function is studied. It is shown how the estimator can be obtained in parametric and nonparametric methods. Its limiting distribution, as the number of observations increases, is shown to be normal. Isotonization of the estimator under the assumption that the generalized hazard rate function is monotone is ...
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A note on randomly evolving hazard rate functions

Naval Research Logistics Quarterly, 1982
AbstractLet τ be a finite stopping time with random hazard rate function (λt:t ≥ 0). We prove that στ λt dt is exponentially distributed with mean 1.
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On the nonparametric smooth estimation of the reversed Hazard Rate function

Statistical Methodology, 2012
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Jayasinghe, Chathuri L.   +1 more
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Smooth nonparametric estimation of the hazard and hazard rate functions from record-breaking data

Journal of Statistical Planning and Inference, 1994
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Gulati, Sneh, Padgett, W. J.
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