测量误差分析及数据处理若干要点系列论文(二)——随机性分布统示法综论

Some Key Points of Measurement Error Analysis and Data Processing Series Papers(2)——An Overview of Random Distribution Uniform Expression Method

阐述现代数据处理中随机性分布统示法必要性及表示方法,包括基于分布函数的理论方法、频率分布的近似方法、基于样本数据的直接方法等,并概述了各自特点及实用中应注意的问题;对误差分析及数据处理归结出基本观念、目标、依据、推论原则、处理方法等要点,结合统示法论述,并针对统示法进行选择。

This paper expounds the necessity and representation of random distribution uniform expression method in modern data processing,including theoretical method based on distribution function,approximate method based on frequency distribution,direct method based on sample data,the characteristics of each and the problems that should be paid attention to in practice are summarized.The key points such as basic concept,objective,basis,inference principle,processing method for error analysis and data processing are summed up,which are combined to uniform expression method,and the selection method of uniform expression method is clarified.