A Bayesian Approach to Statistical Inference about Climate Change

被引：0
|
作者：
Solow, Andrew R. [1 ]
机构：
[1] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA
来源：
JOURNAL OF CLIMATE | 1988年 / 1卷 / 05期
关键词：
D O I：
暂无
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
A Bayesian approach to statistical inference about climate change based on the two-phase regression model is presented. This approach is useful when nonobservational information is available about possible climate change. This information may refer to the timing or the nature of the possible change. The approach is applied to a historic temperature record.
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页数：10
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