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Some Almost-Sure Convergence Properties Useful in Sequential Analysis

机译:在序列分析中有用的一些几乎确定的收敛性质

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Kim and Nelson propose sequential procedures for selecting the simulated system with the largest steady-state mean from a set of alternatives that yield stationary output processes. Each procedure uses a triangular continuation region so that sampling stops when the relevant test statistic first reaches the region's boundary. In applying the generalized continuous mapping theorem to prove the asymptotic validity of these procedures as the indifference-zone parameter tends to zero, we are given (ⅰ) a sequence of functions on the unit interval (which are right-continuous with left-hand limits) converging to a realization of a certain Brownian motion process with drift; and (ⅱ) a sequence of triangular continuation regions corresponding to the functions in sequence (ⅰ) and converging to the triangular continuation region for the Brownian motion process. From each function in sequence (ⅰ) and its corresponding continuation region in sequence (ⅱ), we obtain the associated boundary-hitting point; and we prove that the resulting sequence of such points converges almost surely to the boundary-hitting point for the Brownian motion process. We also discuss the application of this result to a statistical process-control scheme for autocorrelated data and to other selection procedures for steady-state simulation experiments.
机译:金和纳尔逊提出了从产生稳态输出过程的一组备选方案中选择具有最大稳态均值的模拟系统的顺序程序。每个过程都使用一个三角形连续区域,以便在相关测试统计信息首次到达该区域的边界时停止采样。在应用广义连续映射定理证明这些过程的渐近有效性时,无差异区域参数趋向于零,我们得到(interval)单位间隔上的一系列函数(这些函数在左边界为右连续) )收敛到具有漂移的特定布朗运动过程的实现; (ⅱ)与三角形(ⅰ)中的函数相对应并收敛到用于布朗运动过程的三角形连续区域的一系列三角形连续区域。从序列(ⅰ)中的每个函数和序列(ⅱ)中其对应的连续区域,我们获得关联的边界点;并且我们证明了这些点的结果序列几乎可以肯定地收敛到布朗运动过程的边界命中点。我们还将讨论该结果在自相关数据的统计过程控制方案中以及在稳态仿真实验的其他选择过程中的应用。

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