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THE IMPORTANCE OF ORDER CORRELATION

机译:订单相关性的重要性

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摘要

It is know that estimation of any output sizes is impossible without the certification of its narrowness of correlation connection. Therefore in practice the use of the formula (1) is considered as an estimation of correlation factor by the method of A or B. If the estimation of mutual uncertainty and covariance is determined using the above-stated formula, it is possible to receive the generalized estimation of correlation factor by the result of two measurements. The article presents the variant of system at an estimation of correlation factor of the results of measurements, which take into account covariance evaluated as statistically as by the method of В. Apart from that in the present article the statistical estimation covariance is determined by the criterion of uniformity of several correlation factors, and the Pearson and Spearman rank correlation coefficients are compared. Apart from that the possibility of the application of the method into practice of the best estimation covariance is shown.
机译:目前据悉,在没有相关连接的窄的认证的情况下,不可能对任何输出大小的估计是不可能的。因此,在实践中,通过A或B的方法认为式(1)的使用被认为是相关因子的估计。如果使用上述公式确定相互不确定度和协方差的估计,则可以接收两次测量结果的相关因子的广义估计。该物品介绍了测量结果结果的相关因子的系统变体,这考虑了根据统计学评估的协方差。除此之外,除了本文中,统计估计协方差是由若干相关因素的均匀性的标准确定的,并且比较Pearson和Spearman等级相关系数。除了将方法应用于实践的可能性之外,还显示出最佳估计协方差。

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