| contributor author | R. B. Robinson | |
| contributor author | Chris D. Cox | |
| contributor author | K. Odom | |
| date accessioned | 2017-05-08T21:48:56Z | |
| date available | 2017-05-08T21:48:56Z | |
| date copyright | April 2005 | |
| date issued | 2005 | |
| identifier other | %28asce%290733-9372%282005%29131%3A4%28651%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63230 | |
| description abstract | Evaluating water quality data for outliers is a good quality control/quality assessment procedure whether the data are used for monitoring or for modeling. Often water quality data are correlated, e.g., carbonaceous biochemical oxygen demand (CBOD) has some correlation with | |
| publisher | American Society of Civil Engineers | |
| title | Identifying Outliers in Correlated Water Quality Data | |
| type | Journal Paper | |
| journal volume | 131 | |
| journal issue | 4 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9372(2005)131:4(651) | |
| tree | Journal of Environmental Engineering:;2005:;Volume ( 131 ):;issue: 004 | |
| contenttype | Fulltext | |
