Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator
Dry periods and drought are inherent natural occurrences. However, due to the increasing pressures of global warming and climate change, these events have become more frequent and severe on a global scale.
Cem Polat Cetinkaya, Mert Can Gunacti
doaj +1 more source
A guide to survival of momentum in UK style portfolios [PDF]
In this study we estimate the survival time of momentum in six UK style portfolio returns from October 1980 to June 2014. We utilise the Kaplan-Meier estimator, a non-parametric method that measures the probability that momentum will persist beyond the ...
Mateus, C., Sarwar, G., Todorovic, N.
core +3 more sources
A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances
Restricted Mean Survival Time ( R M S T ) experiences a renaissance and is advocated as a model-free, easy to interpret alternative to proportional hazards regression and hazard rates with implication in causal inference. Estimation of R M S T
Szilárd Nemes +2 more
doaj +1 more source
On consistency of kernel density estimators for randomly censored data : rates holding uniformly over adaptive intervals [PDF]
. – In the usual right-censored data situation, let fn, n ∈ N, denote the convolution of the Kaplan–Meier product limit estimator with the kernels a−1n K(·/an), where K is a smooth probability density with bounded support and an → 0.
Giné, Evarist, Guillou, Armelle
core +1 more source
In this paper, we consider the estimators of distribution function and hazard rate for censored survival time. First, some properties and inequalities are established for linearly extended negative quadrant-dependent sequence as auxiliary results.
Yongming Li +3 more
doaj +1 more source
ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Asymptotically local minimax estimation of infinitely smooth density with censored data [PDF]
The problem of the nonparametric minimax estimation of an innitely smooth density at a given point, under random censorship, is considered. We establish the exact limiting behavior of the local minimax risk and propose the ecient kernel -type estimator ...
Belitser, E.N., Levit, B.Y.
core +6 more sources
ESTIMACIÓN DE KAPLAN MEIER BOOTSTRAP DE LA CURVA DE SUPERVIVENCIA
In this work the function of survival is estimated by means of the non-parametric method known like the Kaplan Meier Bootstrap estimator, under the assumption of asymptotical normality.
Freddy Tineo Guevara +2 more
doaj +1 more source
A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population [PDF]
In survey analysis, the estimation of the cumulative distribution function (cdf) is of great interest: it allows for instance to derive quantiles estimators or other non linear parameters derived from the cdf.
Casanova, Sandrine, Leconte, Eve
core +5 more sources
Robust bias estimation for Kaplan–Meier survival estimator with jackknifing [PDF]
17 pages, 3 figures, 5 tables. CRiSM working paper, Paper No.
Khan, Md. Hasinur Rahaman +1 more
openaire +3 more sources

