نتایج جستجو برای: buckley leverret

تعداد نتایج: 851  

Journal: :Journal of multivariate analysis 2008
Mai Zhou Gang Li

The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popular Cox model when the assumption of proportional hazards is questionable. Buckley and James [Linear regression with censored data, Biometrika 66 (1979) 429-436] extended the least...

2017
J. Larsen

Contemporaries of Charles Darwin were divided on reconciling his theory of natural selection with religion and morality. Although Alfred Russel Wallace stands out as a spiritualist advocate of natural selection who rejected a natural origin of morality, the science popularizer and spiritualist Arabella Buckley (1840–1929) offers a more representative example of how theists, whether spiritualist...

Journal: :Australian & New Zealand Journal of Statistics 2016

Journal: :SPE Advanced Technology Series 1993

2014
Kevin Granville Zhaozhi Fan

In this paper we study the Buckley-James estimator of accelerated failure time models with auxiliary covariates. Instead of postulating distributional assumptions on the auxiliary covariates, we use a local polynomial approximation method to accommodate them into the Buckley-James estimating equations. The regression parameters are obtained iteratively by minimizing a consecutive distance of th...

Journal: :Multiscale Modeling & Simulation 2013
P. Wang Daniel M. Tartakovsky K. D. Jarman Alexandre M. Tartakovsky

The Buckley–Leverett (nonlinear advection) equation is often used to describe twophase flow in porous media. We develop a new probabilistic method to quantify parametric uncertainty in the Buckley–Leverett model. Our approach is based on the concept of a fine-grained cumulative density function (CDF) and provides a full statistical description of the system states. Hence, it enables one to obta...

2013
Kai-Tai Fang Gang Li Xuyang Lu Hong Qin

This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problema...

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