此二法均能很好地应用于大数据序列主成分模的显著性检验。
The two methods are good to be used for the eigenvalue significance tests of large data sets.
采用正交多项式回归分析法建立回归模型，并对回归方程和回归系数进行显著性检验。
The method of orthogonal polynomial regression was used for regression modeling, and then the regression equations and regression coefficients were tested for significance.
统计检验表明，两方法间不存在显著性差异，但干柱法更加快速、简便。
Statistical analysis indicated that there was no significant difference in the results between the two methods, but the dry column method was rapid and simple.
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