日期精度：到日 0 篇 · 到月 4 篇 · 到年 0 篇
计算机随机变量生成中接受—拒绝方法的一种变体
A variant of the common acceptance-rejection method for generating random variables guarantees that steps are not repeated. This approach affords considerable flexibility in tailoring the method efficiently to the specified density. An algorithm for generating Cauchy random variables illustrates the use of this approach.
计算机生成随机变量的接受—拒绝法变体
A variant of the common acceptance-rejection method for generating random variables guarantees that steps are not repeated. This approach affords considerable flexibility in tailoring the method efficiently to the specified density. An algorithm for generating Cauchy random variables illustrates the use of this approach.
将 Kaplan–Meier 估计量表示为经验子生存函数的函数
The Kaplan-Meier estimator for the survival function in the censored data problem can be expressed for finite samples as an explicit function of two empirical subsurvival functions. This function is the natural one that expresses the survival function in terms of the sub-survival functions. As an illustration of the usefulness of expressing the Kaplan-Meier estimator in this way, the strong consistency of the Kaplan-Meier estimator is easily proved.