| contributor author | V. P. Singh | |
| contributor author | Z. Q. Deng | |
| date accessioned | 2017-05-08T21:23:36Z | |
| date available | 2017-05-08T21:23:36Z | |
| date copyright | March 2003 | |
| date issued | 2003 | |
| identifier other | %28asce%291084-0699%282003%298%3A2%2881%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/49704 | |
| description abstract | An entropy-based method is developed for estimating parameters of the four-parameter kappa distribution. Using four sets of data on annual maximum rainfall and on annual peak flow discharge, the entropy-based method is evaluated and compared with the methods of moments, L-moments, probability-weighted moments, and the maximum likelihood estimation. The results of estimation show that both the entropy method and the L-moment method enable the four-parameter kappa distribution to fit the data well and a combination of the two methods can further improve estimation. | |
| publisher | American Society of Civil Engineers | |
| title | Entropy-Based Parameter Estimation for Kappa Distribution | |
| type | Journal Paper | |
| journal volume | 8 | |
| journal issue | 2 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)1084-0699(2003)8:2(81) | |
| tree | Journal of Hydrologic Engineering:;2003:;Volume ( 008 ):;issue: 002 | |
| contenttype | Fulltext | |
