Results 11 to 20 of about 15,395 (120)

Comparison of nonparametric estimators versus parametric for reliability function

Ingeniería Investigación y Desarrollo, 2015
One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
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Sensitivity of Survival Analysis Metrics

Mathematics, 2023
Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev, Mikhail Petrovskiy, Igor Mashechkin   +2 more
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Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market [PDF]

Ovidius University Annals: Economic Sciences Series, 2018
The aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 ...
Sandu Christiana Brigitte, Darabă Gabriel, Jaba Elisabeta   +2 more
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Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator

Agriculture
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
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A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances

Stats, 2020
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, Erik Bülow, Andreas Gustavsson   +2 more
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Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data

Statistical Theory and Related Fields
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, Weicai Pang, Ziqing Feng, Naiyi Li   +3 more
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ESTIMACIÓN DE KAPLAN MEIER BOOTSTRAP DE LA CURVA DE SUPERVIVENCIA

Pesquimat, 2014
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, Ysela Dominga Agüero Palacios, Emma Norma Cambillo Moyano   +2 more
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Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data [PDF]

Revista Română de Statistică, 2017
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are replaced by synthetic data points
Dursun AYDIN, Ersin YILMAZ
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The importance of selecting Bayesian nonparametric survival models: application to the estimation of unemployment durations

المجلة الدولية للأداء الاقتصادي, 2023
The Kaplan-Meier and Fleming-Harrington estimator in the frequentist approach are functional methods. We compare in this article the different Bayesian structures of the Kaplan-Meier and Fleming-Harrington estimators through the information deviance ...
Ahmed HAMIMES
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Examining Selected Theoretical Distributions of Life Expectancy to Analyse Customer Loyalty Durability. The Case of a European Retail Bank

Acta Universitatis Lodziensis. Folia Oeconomica, 2020
One of the key elements related to calculating Customer Lifetime Value is to estimate the duration of a client’s relationship with a bank in the future. This can be done using survival analysis.
Dominik Kubacki, Robert Kubacki
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