A Bayesian Approach to Statistical Inference about Climate ChangeSource: Journal of Climate:;1988:;volume( 001 ):;issue: 005::page 512Author:Solow, Andrew R.
DOI: 10.1175/1520-0442(1988)001<0512:ABATSI>2.0.CO;2Publisher: American Meteorological Society
Abstract: 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.
|
Collections
Show full item record
| contributor author | Solow, Andrew R. | |
| date accessioned | 2017-06-09T15:07:33Z | |
| date available | 2017-06-09T15:07:33Z | |
| date copyright | 1988/05/01 | |
| date issued | 1988 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-3505.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4172901 | |
| description abstract | 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. | |
| publisher | American Meteorological Society | |
| title | A Bayesian Approach to Statistical Inference about Climate Change | |
| type | Journal Paper | |
| journal volume | 1 | |
| journal issue | 5 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/1520-0442(1988)001<0512:ABATSI>2.0.CO;2 | |
| journal fristpage | 512 | |
| journal lastpage | 521 | |
| tree | Journal of Climate:;1988:;volume( 001 ):;issue: 005 | |
| contenttype | Fulltext |