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Estimation of mean residual life
WJ Hall, JA Wellner - Statistical Modeling for Biological Systems: In …, 2020 - Springer
Abstract Yang (Ann Stat, 6: 112–116, 1978) considered an empirical estimate of the mean
residual life function on a fixed finite interval. She proved it to be strongly uniformly …
residual life function on a fixed finite interval. She proved it to be strongly uniformly …
A note on estimation of the mean residual life function with left-truncated and right-censored data
This note focuses on estimating the mean residual life function with left-truncated and right-
censored data. We show that the proposed estimator converges weakly to a Gaussian …
censored data. We show that the proposed estimator converges weakly to a Gaussian …
Summarising censored survival data using the mean residual life function
The mean residual life function provides a clear and simple summary of the effect of a
treatment or a risk factor in units of time, avoiding hazard ratios or probability scales, which …
treatment or a risk factor in units of time, avoiding hazard ratios or probability scales, which …
Nonparametric estimation on the circle based on Fej\'er polynomials
This paper presents a comprehensive study of nonparametric estimation techniques on the
circle using Fej\'er polynomials, which are analogues of Bernstein polynomials for periodic …
circle using Fej\'er polynomials, which are analogues of Bernstein polynomials for periodic …
Nonparametric estimation of the conditional mean residual life function with censored data
The conditional mean residual life (MRL) function is the expected remaining lifetime of a
system given survival past a particular time point and the values of a set of predictor …
system given survival past a particular time point and the values of a set of predictor …
On tail inference in iid settings with nonnegative extreme value index
T Moriyama - arxiv preprint arxiv:2409.00906, 2024 - arxiv.org
In extreme value inference it is a fundamental problem how the target value is required to be
extreme by the extreme value theory. In iid settings this study both theoretically and …
extreme by the extreme value theory. In iid settings this study both theoretically and …
Estimation of the mean residual life function in the presence of measurement errors
H Pourjafar, V Zardasht - Communications in Statistics-Simulation …, 2020 - Taylor & Francis
The data available for statistical analysis from many scientific areas often come with
measurement error. Ignoring measurement error can bring forth biased estimates and lead …
measurement error. Ignoring measurement error can bring forth biased estimates and lead …
Smoothed rank-based procedure for censored data
A smoothed rank-based procedure is developed for the accelerated failure time model to
overcome computational issues. The proposed estimator is based on an EM-type procedure …
overcome computational issues. The proposed estimator is based on an EM-type procedure …
Non parametric multivariate distribution estimation under right censoring
A Nafii, T Bouezmarni, M Mesfioui - Communications in Statistics …, 2024 - Taylor & Francis
A non parametric estimator of the joint distribution function of a positive bivariate random
vector is introduced. The case where one of the two variables is subject to right censoring is …
vector is introduced. The case where one of the two variables is subject to right censoring is …
Monte Carlo comparison of tests of exponentiality against NWBUE alternatives
In this paper we focus on the testing of exponentiality (which essentially captures no aging)
against non-monotonic aging captured by the fairly large class of new worse then better than …
against non-monotonic aging captured by the fairly large class of new worse then better than …