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 …

A note on estimation of the mean residual life function with left-truncated and right-censored data

M Zhao, H Jiang, X Liu - Statistics & probability letters, 2013 - Elsevier
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 …

Summarising censored survival data using the mean residual life function

A Alvarez‐Iglesias, J Newell, C Scarrott… - Statistics in …, 2015 - Wiley Online Library
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 …

Nonparametric estimation on the circle based on Fej\'er polynomials

B Klar, B Milošević, M Obradović - arxiv preprint arxiv:2411.19138, 2024 - arxiv.org
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 …

Nonparametric estimation of the conditional mean residual life function with censored data

AC McLain, SK Ghosh - Lifetime data analysis, 2011 - Springer
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 …

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 …

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 …

Smoothed rank-based procedure for censored data

Y Zhao, BM Brown, YG Wang - 2014 - projecteuclid.org
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 …

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 …

Monte Carlo comparison of tests of exponentiality against NWBUE alternatives

MZ Anis, A Ghosh - Mathematics and Computers in Simulation, 2015 - Elsevier
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 …