...
首页> 外文期刊>Journal of Hydrology >Response to Comment on 'Two statistics for evaluating parameter identifiability and error reduction'
【24h】

Response to Comment on 'Two statistics for evaluating parameter identifiability and error reduction'

机译:对“关于评估参数可识别性和错误减少的两种统计数据”评论的回应

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We appreciate the interest in the identifiability and relative parameter error variance reduction statistics that we describe in Doherty and Hunt (2009). Dr. Hill’s comments, referred to here as Hill (2010), include concerns specific to our paper, but also examples and issues that extend beyond our paper to the work of others. As such, they extend to broader methodological issues which underpin our general approach to model calibration and uncertainty analysis. In this regard they are similar to those raised in a recent paper (Hill, 2008a) and in a number of scientific presentations (Hill, 2006, 2007, 2008b, 2009). We consider a discussion of these issues vital to achieving changes in approaches to parameter estimation and uncertainty analysis that we believe will substantially enhance the ability of the modeling community to address societally relevant problems. We hope that discussion of the topics raised in Hill (2010) will increase the understanding of the approach that we are trying to advance, and are therefore pleased to engage in such a discussion.
机译:我们赞赏在Doherty和Hunt(2009)中描述的可识别性和相对参数误差方差减少统计数据中的兴趣。希尔博士的评论在这里称为Hill(2010),其中包括我们论文所特有的关注点,还包括一些实例和问题,这些内容和问题超出了我们论文的范围,涉及其他人的工作。因此,它们扩展到更广泛的方法论问题,这些问题奠定了我们用于模型校准和不确定性分析的一般方法的基础。在这方面,它们类似于最近的一篇论文(Hill,2008a)和许多科学报告(Hill,2006,2007,2008b,2009)中提出的内容。我们认为对这些问题的讨论对于实现参数估计和不确定性分析方法的改变至关重要,我们认为这将大大增强建模界解决社会相关问题的能力。我们希望,对Hill(2010)中提出的主题的讨论将增进对我们正在努力发展的方法的理解,因此,我们很高兴参与此类讨论。

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