On the composition of elementary errors: Second paper: Statistical applications
On the composition of elementary errors: Second paper: Statistical applications
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DOI：
10.1080/03461238.1928.10416872
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发表时间：
--
影响因子：
1.8
通讯作者：
H. Cramér
中科院分区：
文献类型：
--
作者：
H. Cramér
统计分布分析。1.设m和σ表示统计变量X的均值和标准差，W(X)表示第一篇论文第1条中定义的该变量的概率函数。I，公式(3))F(X)是变量的概率函数，平均值为0，标准差为1。W(X)的矩，取平均值(参看I，Art.7，其中m应该是零)，我们放在Charlier之后，
Analysis of statistical distributions. 1. Let m and σ denote the mean and the standard deviation of a statistical variable X, and let W(x) be the probability function of that variable as defined in the first paper 1 , Art. 1. If we put (cf. I, formula (3)) F(x) is the probability function of the variable , with the mean value 0 and the standard deviation 1. Denoting by µ2, µ3, ... the moments of W(x) , taken about the mean (cf. I, Art. 7, where m is supposed to be zero), we put, following Charlier,