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Monotonicity of failure rate and mean residual life function of a gamma-type model
Applied Mathematics and Computation, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramesh C. Gupta, Sergey Lvin
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A Study of the Mean Residual Life Function and Its Applications
2006The mean residual life (MRL) function is an important function in survival analysis, actuarial science, economics and other social sciences and reliability for characterizing lifetime. Different methods have been proposed for doing inference on the MRL but their coverage probabilities for small sample sizes are not good enough.
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Mean Past and Mean Residual Life Functions of a Parallel System with Nonidentical Components
Communications in Statistics - Theory and Methods, 2008One of the most important types of system structures is the parallel system. Asadi (2006) and Asadi and Bayramoglu (2005), proposed new definitions for the mean past lifetime (MPL) and the mean residual life function (MRL) of a parallel system as follows, respectively: where T 1:n , T 2:n ,…, T n:n are the ordered statistics corresponding to T 1, T 2,…,
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The Efficiencies for Kernel choice of mean residual life function estimators
2022 Advances in Science and Engineering Technology International Conferences (ASET), 2022Abdel-Razzaq Mugdadi +1 more
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The Mean Residual Life Function of a$k$-out-of-$n$Structure at the System Level
IEEE Transactions on Reliability, 2006Majid Asadi, Ismihan Bayramoglu
exaly
Moments in terms of the mean residual life function
Microelectronics Reliability, 1983openaire +1 more source
Properties of a mean residual life function arising from renewal theory
Naval Research Logistics, 2010N Unnikrishnan Nair, P G Sankaran
exaly
A note on estimation of the mean residual life function with left-truncated and right-censored data
Statistics and Probability Letters, 2013Mu Zhao, Hongmei Jiang
exaly
A Model for Upside-Down Bathtub-Shaped Mean Residual Life and Its Properties
IEEE Transactions on Reliability, 2009Loon-Ching Tang, Min Xie
exaly

