Abstract

The selection of an analytical expression approximating an empirical probability distribution function is considered. For specific examples, the problems that arise in the analysis of data from simulations and tests of aerospace products are identified. These problems cannot be solved by classical statistical methods. A universal approach based on estimation of the distance between the empirical and hypothetical distribution functions permits the selection of the best solution from those available.

中文翻译：

---

经验概率分布函数的分析描述

摘要

考虑选择近似经验概率分布函数的解析表达式。对于特定示例，可以识别在航空产品仿真和测试数据分析中出现的问题。这些问题无法通过经典的统计方法解决。基于对经验分布函数和假设分布函数之间距离的估计的通用方法允许从可用的那些中选择最佳解决方案。