| contributor author | Takami, Tomoki | |
| contributor author | Kitahara, Masaru | |
| contributor author | Maki, Atsuo | |
| contributor author | Dostal, Leo | |
| date accessioned | 2026-08-20T21:09:58Z | |
| date available | 2026-08-20T21:09:58Z | |
| date copyright | 2025/07/31 | |
| date issued | 2025 | |
| identifier other | AJRUA6.RUENG-1626.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314053 | |
| description abstract | AbstractThis paper proposes a methodology to efficiently quantify an uncertainty in the probability
density function (PDF) of excessive rolling of a ship. To this end, the Bayesian inference
scheme is introduced to estimate the posterior distribution of ... | |
| publisher | American Society of Civil Engineers | |
| title | Uncertainty-Aware Efficient Estimation of the Probability Density Function for Excessive Rolling of a Ship | |
| type | Journal Article | |
| journal volume | 11 | |
| journal issue | 4 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1626 | |
| journal fristpage | 04025060-1 | |
| journal lastpage | 04025060-12 | |
| page | 12 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004 | |
| contenttype | Fulltext | |