Premium
Incorporating uncertainty of distribution parameters due to sampling errors in flood‐damage‐reduction project evaluation
Author(s) -
Su HsinTing,
Tung YeouKoung
Publication year - 2013
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/wrcr.20116
Subject(s) - ranking (information retrieval) , flood myth , statistics , sample size determination , sampling (signal processing) , sample (material) , reduction (mathematics) , uncertainty reduction theory , key (lock) , environmental science , computer science , econometrics , mathematics , geography , machine learning , sociology , chemistry , geometry , computer security , archaeology , filter (signal processing) , chromatography , communication , computer vision
Key Points A decision making framework considering the epistemic uncertainty is proposed. The effects of sample size on potential risk of alternatives and ranking result. The ranking of project alternatives can be changed by adjusting the sample size.