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  • 标题:Global correlation and uncertainty accounting
  • 本地全文:下载
  • 作者:Roger M. Cooke ; Sassan Saatchi ; Stephen Hagen
  • 期刊名称:Dependence Modeling
  • 电子版ISSN:2300-2298
  • 出版年度:2016
  • 卷号:-1
  • 期号:open-issue
  • 页码:184-189
  • DOI:10.1515/demo-2016-0009
  • 出版社:Walter de Gruyter GmbH
  • 摘要:For a high dimensional field of random variables, global correlation is defined as the ratio of average covariance and average variance, and its elementary properties are studied.Global correlation is used to harmonize uncertainty assessments at global and local scales.It can be estimated by the correlation of random aggregations of fixed size of disjoint sets of random variables.Illustrative applications are given using crop loss per county per year and forest carbon.
  • 关键词:global correlation ; forest carbon ; uncertainty accounting
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