首页> 外文OA文献 >Best unbiased graphical estimators of location-scale distribution parameters: application to the Pozzuoli’s bradyseism earthquake data
【2h】

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:应用于波佐利的缓震地震数据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

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,因为它们可以进行视觉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,该方法可以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。这种图形化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。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号