均方加权偏差的统计分布

I. Wendt, C. Carl
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引用次数: 658

摘要

推导了均方加权偏差(MSWD)的概率分布及其与自由度f的依赖关系。MSWD的期望值(或平均值)=1,不是f的函数,但随着f的增大,MSWD期望值的+1σ范围减小,其标准差为σ =±(2/f)1/2。如果MSWD为1+2(2/f)1/2,则数据定义等时线的概率只有<5%。只有在分析误差σxi和σyi已知的情况下,才可以使用MSWD作为接受或拒绝等时线假设的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The statistical distribution of the mean squared weighted deviation

The probability distribution of the mean squared weighted deviation (MSWD) is derived and its dependence on degrees of freedom f is shown. The expectation (or mean) value of MSWD=1 and is not a function of f. However, the +1σ range of the expectation value of the MSWD decreases with increasing f. The standard deviation of the MSWD is σ = ±(2/f)1/2. If MSWD 1+2(2/f)1/2, there is only <5% probability that the data define an isochron. Use of MSWD as a criterion for accepting or rejecting the assumption of an isochron may be applied only if analytical errors σxi and σyi are well known.

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