A Brief Study on More Accurate Appreciation of the Statistical Information

K. Voinov
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Abstract

As usually, there are very many situations when a man is clashing with the necessity to treat/process any statistical data (may be, about reliability of technical system, results of investigations or experiments about weather, temperature, pressure, productivity of labour and so on). In addition to that all academics try to determine the right law of distribution with their help to definite mathematical equations/formulas or with the special ways to find the possibility to solve the problem. Such task isn’t mighty easy in many cases. It is needed to know perfectly well the theory of probability, laws of distribution (they are more 30) and criteria (more than 10) to confirm correctly the common conclusion of calculations [1-8,9,10,11,12]. In this article two ways how really we can get the right finish result without any mistake the researcher can receive and more accurate appreciation of the statistical information is given as well.
浅谈提高统计信息的准确性
通常,在很多情况下,当一个人与处理任何统计数据的必要性发生冲突时(可能是关于技术系统的可靠性,关于天气、温度、压力、劳动生产率等的调查或实验结果)。此外,所有学者都试图通过确定数学方程/公式或用特殊的方法来确定正确的分布规律,以寻找解决问题的可能性。在很多情况下,这样的任务并不容易。要正确确认计算的共同结论[1-8,9,10,11,12],需要对概率论、分布规律(超过30种)和准则(超过10种)有充分的了解。在这篇文章中,我们如何真正地得到正确的完成结果没有任何错误,研究人员可以得到更准确的评价统计信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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