Dealing with Dependent Uncertainty in Modelling: A Comparative Study Case through the Airy Equation

FANG, J., SMITH, S. M., & ELISHAKOFF, I. (1998). Combination of Anti-Optimization and Fuzzy-Set-Based Analyses for Structural Optimization under Uncertainty. Mathematical Problems in Engineering, 1998(), 187-200. https://doi.org/10.1155/S1024123X98000787
Rinne, L. F., & Mazzocco, M. M. M. (2013). Inferring Uncertainty from Interval Estimates: Effects of Alpha Level and Numeracy. Judgment and Decision Making, 8(3), 330-344. https://www.airitilibrary.com/Article/Detail?DocID=19302975-201305-201306050032-201306050032-330-344
Semple, S. E., Proud, L. A., & Cherrie, J. W. (2003). Use of Monte Carlo Simulation to Investigate Uncertainty in Exposure Modeling. Scandinavian Journal of Work, Environment & Health, 29(5), 347-353. https://www.airitilibrary.com/Article/Detail?DocID=03553140-200309-201011100043-201011100043-347-353
Huang, D. (2007). Robustness of generalized estimating equations in credibility models [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200014584
簡宏濂（2020）。A multivariate regression approach for modeling spatial nonstationarity〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-0608202014281000