Estimation of Survival Function
نویسندگان
چکیده
منابع مشابه
Estimation of the Survival Function for Negatively Dependent Random Variables
Let be a stationary sequence of pair wise negative quadrant dependent random variables with survival function {,1}nXn?F(x)=P[X>x]. The empirical survival function ()nFx based on 12,,...,nXXX is proposed as an estimator for ()nFx. Strong consistency and point wise as well as uniform of ()nFx are discussed
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let be a stationary sequence of pair wise negative quadrant dependent random variables with survival function {,1}nxn?f(x)=p[x>x]. the empirical survival function ()nfx based on 12,,...,nxxx is proposed as an estimator for ()nfx. strong consistency and point wise as well as uniform of ()nfx are discussed
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15 صفحه اولSmooth estimation of the survival function for interval censored data.
Interval censored data arise naturally in large-scale panel studies where subjects can only be followed periodically and the event of interest can only be observed in some time intervals. To estimate the survival function the non-parametric maximum likelihood estimator (NPMLE) is commonly used, which is a step function having some large jumps. However, in many applications the underlying surviv...
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ژورنال
عنوان ژورنال: Acta Oeconomica Pragensia
سال: 2007
ISSN: 0572-3043,1804-2112
DOI: 10.18267/j.aop.36