| contributor author | Lueck, Rolf G. | |
| contributor author | Wolk, Fabian | |
| date accessioned | 2017-06-09T14:14:25Z | |
| date available | 2017-06-09T14:14:25Z | |
| date copyright | 1999/06/01 | |
| date issued | 1999 | |
| identifier issn | 0739-0572 | |
| identifier other | ams-1543.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4151101 | |
| description abstract | A technique is presented for determining if an estimate of covariance (or correlation) of two time series is statistically significantly different from zero. The technique makes no assumptions about the spectrum or the probability distribution of either time series. It is more efficient than the method of Yamazaki and Osborn and Fleury and Lueck by several factors of 10. | |
| publisher | American Meteorological Society | |
| title | An Efficient Method for Determining the Significance of Covariance Estimates | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 6 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/1520-0426(1999)016<0773:AEMFDT>2.0.CO;2 | |
| journal fristpage | 773 | |
| journal lastpage | 775 | |
| tree | Journal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 006 | |
| contenttype | Fulltext | |
