| contributor author | Barnett, T. P. | |
| contributor author | Preisendorfer, R. W. | |
| contributor author | Goldstein, L. M. | |
| contributor author | Hasselmann, K. | |
| date accessioned | 2017-06-09T14:45:57Z | |
| date available | 2017-06-09T14:45:57Z | |
| date copyright | 1981/08/01 | |
| date issued | 1981 | |
| identifier issn | 0022-3670 | |
| identifier other | ams-26265.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4163140 | |
| description abstract | Methods of estimating the significance of optimal regression models selected from a model hierarchy proposed by Barnett and Hasselmann (1979) are reexamined allowing for the multiple-candidate nature of the selection criteria. It is found that the single-candidate models' significance value previously used can over- or underestimate the true multiple-candidate significance level of the selected model depending on the selection criteria used. A number of possible selection strategies to remove these problems are discussed and evaluated both theoretically and by Monte Carlo simulators. | |
| publisher | American Meteorological Society | |
| title | Significance Tests for Regression Model Hierarchies | |
| type | Journal Paper | |
| journal volume | 11 | |
| journal issue | 8 | |
| journal title | Journal of Physical Oceanography | |
| identifier doi | 10.1175/1520-0485(1981)011<1150:STFRMH>2.0.CO;2 | |
| journal fristpage | 1150 | |
| journal lastpage | 1154 | |
| tree | Journal of Physical Oceanography:;1981:;Volume( 011 ):;issue: 008 | |
| contenttype | Fulltext | |