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Testing of hypothesis of random variables independence on the basis of nonparametric method of confidence estimation of probability density

机译:基于概率密度置信度估计非参数方法的随机变量独立性的假设测试

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摘要

Algorithmic approach of hypothesis testing of identity of distribution laws of random values is offered. Its basis is made by technique of creation of confidence borders for a probability density.
机译:提供了随机值分布规律的标识标识的假设检验的算法方法。它的基础是通过创建概率密度的置信度边界的技术来制造。

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