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STATISTICAL FIBER-OPTIC CONNECTOR LOSS BUDGETS: PROBABILITY DISTRIBUTIONS AND CASCADED LOSSES

机译:统计光纤连接器损耗预算:概率分布和级联损耗

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The log-normal was by far the best fit for cases where the mean was at or below 1μ. At mean values above la, but less than 1.8μ, the log-normal continued to be the best fit. The Rayleigh_σ exhibited a few good predictions, but not consistently. At mean values above l.Scr the log-normal was still the best fit. The Gaussian distribution also fit the data well with respect to shape, but the Gaussian density function peak was at a higher IL than the actual data.
机译:到目前为止,对数正态分布最适合于平均值等于或小于1μ的情况。当平均值高于la,但小于1.8μ时,对数正态继续是最佳拟合。 Rayleigh_σ表现出一些好的预测,但并不一致。在平均值高于l.Scr时,对数正态仍是最佳拟合。高斯分布在形状方面也很好地拟合了数据,但是高斯密度函数峰的IL比实际数据高。

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