论文标题
数据平均值中的模型选择：对测量的普朗克 - 恒定值的分析
Model selection in the average of inconsistent data: an analysis of the measured Planck-constant values
论文作者
论文摘要
当数据不符合已知采样变化的假设时，将常数与一组测量值的拟合是一个长期的争论问题。鉴于数据，拟合将需要找到最值得信赖的测量值。这里审查了贝叶斯推论，以将概率分配给可能的测量值。通过贝叶斯模型比较测试了有关数据差异的不同假设。最终，在得出Planck常数的估计值时体现了模型选择。
When the data do not conform to the hypothesis of a known sampling-variance, the fitting of a constant to a set of measured values is a long debated problem. Given the data, fitting would require to find what measurand value is the most trustworthy. Bayesian inference is here reviewed, to assign probabilities to the possible measurand values. Different hypothesis about the data variance are tested by Bayesian model comparison. Eventually, model selection is exemplified in deriving an estimate of the Planck constant.
