...
首页> 外文期刊>Theory and Decision >The Group Calibration Index: a group-based approach for assessing forecasters' expertise when external outcome data are missing
【24h】

The Group Calibration Index: a group-based approach for assessing forecasters' expertise when external outcome data are missing

机译:小组校准指数:一种基于小组的方法,可在缺少外部结果数据时评估预报员的专业知识

获取原文
获取原文并翻译 | 示例
           

摘要

The Group Calibration Index (GCI) provides a means of assessing the quality of forecasters' predictions in situations that lack external feedback or outcome data. The GCI replaces the missing outcome data with aggregated ratings of a well-defined reference group. A simulation study and two experiments show how the GCI classifies forecaster performance and distinguishes between forecasters with restricted information and those with complete information. The results also show that under certain circumstances, where members of the reference group have high-quality information, the new GCI will outperform expert classification that is based on traditional calibration indices.
机译:组校准指数(GCI)提供了一种在缺乏外部反馈或结果数据的情况下评估预报员预测质量的方法。 GCI用定义明确的参考人群的综合评分代替了缺失的结果数据。一项仿真研究和两个实验表明,GCI如何对预报员的表现进行分类,并区分信息受限的预报员和信息完整的预报员。结果还表明,在某些情况下,如果参考组的成员拥有高质量的信息,则新的GCI将优于基于传统校准指标的专家分类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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