Results 271 to 280 of about 428,360 (302)

On the mean residual life regression model

Journal of Statistical Planning and Inference, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, LX, Yuen, KC, Tang, NY
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Some results on discrete mean residual life

IEEE Transactions on Reliability, 1996
Mean residual life (MRL) is important in reliability studies; it provides the engineer with an idea of how long a device of any particular age can be expected to survive. Components and systems are frequently characterized as having increasing or decreasing MRL.
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Tests for bivariate mean residual life

Communications in Statistics - Theory and Methods, 1991
In this paper we have developed tests for bivariate exponentiaIity against the ‘bivariate decreasing mean residual life (BDMRL)’ and ‘bivariate new better than used in expectation (BNBUE)’ classes of non-exponentia1 probability distributions. We have also obtained a large-sample approximation to make the test readily applicable.
Kanwar Sen, Madhu Bala Jain
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A new test for mean residual life times

Biometrika, 1992
Summary: The mean residual life at age \(t\) is the expected value of the remaining life beyond that age. A new \(U\)-statistic is derived for testing constant versus decreasing mean residual life. The new test is easier to compute and performs better for several alternatives than previous tests.
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Mean residual life of lifetime distributions

IEEE Transactions on Reliability, 1999
This paper characterizes the general behaviors of the MRL (mean residual lives) for both continuous and discrete lifetime distributions, with respect to their failure rates. For the continuous lifetime distribution with failure rates with only one or two change-points, the characteristic of the MRL depends only on its mean and failure rate at time zero.
Tang, L.C., Lu, Y., Chew, E.P.
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Moments in Terms of the Mean Residual Life Function

IEEE Transactions on Reliability, 1981
In reliability studies, the mean additional life time, given that a component has survived until time t, is called the mean residual life function (MRLF). This MRLF determines the distribution function uniquely. In this paper a method of obtaining the moments in terms of the MRLF, by employing a result in the context of renewal theory, is developed ...
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Local Polynomial Fitting of the Mean Residual Life Function

IEEE Transactions on Reliability, 2013
The mean residual life (MRL) function is one of the most important, widely used reliability measures in practice. For example, it is used to design burn-in programs, plan spare provision, and formulate warranty policies. Parametric techniques, which rely on the assumption that the parametric form of the failure time is known, are usually employed in ...
Chathuri L. Jayasinghe, Panlop Zeephongsekul   +1 more
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Bootstrap Kernel Estimator of Mean Residual Life Function

Journal of Mathematical Sciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdushukurov, A. A., Sagidullaev, K. S.
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Estimation related to mean residual life

Journal of Nonparametric Statistics, 1994
The mean residual life function has applications in many fields such as reliability, survival analysis, actuarial science etc. The sets of those lifetime distributions which have decreasing, increasing or upside-down bathtub shaped mean residual life are natural classes and can be used to model many practical situations. For any member of these classes
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Threshold Estimation in Proportional Mean Residual Life Model

Statistica Sinica
Summary: The mean residual life model is vital for its ability to investigate the association between covariates and patient life expectancy. In certain circumstances, a patient's lifespan may change when a covariate exceeds a particular threshold value, which is critical to predicting the patient's life expectancy and preventing diseases.
Wang, Bing, Song, Xinyuan
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