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Best unbiased graphical estimators of location-scale distribution parameters: application to the Pozzuoli's bradyseism earthquake data

机译:位置尺度分布参数的最佳无偏图形估计:在波佐利的缓震地震数据中的应用

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摘要

Graphical techniques are recommended for critical applications because they allow for visual analysis and helpful understanding of the results, also for non-statisticians. However, "graphical" estimation methods are often criticized because they are less efficient with respect to "analytical" methods. This paper proposes a new general graphical method that leads to the best linear unbiased estimators of location-scale distribution parameters. Therefore, the reputation of graphical methods is raised and their strategic use is encouraged. An applicative example analyzes the earthquake magnitudes registered during the serious 1983-1984 bradyseismic crisis in Campi Flegrei, Italy. This graphical analysis will certainly work as a strategic reference picture to which the data, arising from the further bradyseismic crises expected in the next future, can be compared.
机译:建议将图形技术用于关键应用程序,因为它们可以进行可视化分析并有助于结果的理解,对于非统计人员也是如此。但是,“图形”估计方法经常受到批评,因为它们相对于“分析”方法效率较低。本文提出了一种新的通用图形方法,该方法可得出位置尺度分布参数的最佳线性无偏估计量。因此,提高了图形方法的声誉,并鼓励了其战略用途。一个应用示例分析了意大利Campi Flegrei 1983-1984年严重的缓震危机期间记录的地震震级。这种图形分析无疑将作为战略参考图片,可以与下一个未来预期的进一步的缓震危机所产生的数据进行比较。

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