关于结合意义。一些琐碎的例子
On combining significances. Some trivial examples
摘要：
对于泊松分布$Pois(n, λ)$与$λ\gg 1$，$n \gg 1$，我们建议将显著性确定为$S = \frac{n_{obs}-λ}{\sqrtλ}$。意义$S$与常用意义一致。对于测量相同量的实验，显著性组合的自然但不是唯一的规则是$S_{comb}(S_1, S_2) = \frac{S_1σ_1+S_2σ_2}{\sqrt{σ^2_1+σ^2_2}}$，其中$σ_1$和$σ_2$是变体。对于存在系统误差的情况，我们还提出了显著性合并准则。
英文摘要：
For Poisson distribution $Pois(n, λ)$ with $λ\gg 1$, $n \gg 1$ we propose to determine significance as $S = \frac{n_{obs}-λ}{\sqrtλ}$. The significance $S$ coincides up to sign with often used significance. For experiments which measure the same quantities the natural but not unique rule for significance combining is $S_{comb}(S_1, S_2) = \frac{S_1σ_1+S_2σ_2}{\sqrt{σ^2_1+σ^2_2}}$, where $σ_1$ and $σ_2$ are variations. We also propose the rule for significances combining for the case with systematic errors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
