“…10,11 Currently, small sample problems have been studied in various fields, including water engineering, aviation, mechanical engineering, and biological engineering. [12][13][14][15] Researchers have proposed different methods to address the unique features of small sample problems, including benchmark methods, 16 machine learning, 17 support vector machines, 18 Monte Carlo methods, 19 Bayesian methods, 20,21 bootstrap methods, 22,23 Bayesian bootstrap methods, 24 and so forth. Among these methods, the bootstrap method is the most representative, which was proposed by Eforn based on the Jackknife method 25,26 using the concept of summary resampling.…”