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.
将其测定结果与GB6435—86法比较，并利用数理统计方法进行检验，其结果表明两种方法无显著性差异，即简速法是可行的。
We compare our method with GB6435-86 and make statistics examination. The result shown no striking difference between two methods. So we think that the simple and quick method is feasible.
该法能对两类配合力进行显著性检验，能对各亲本的一般配合力间的差异和各组合特殊配合力间的差异进行显著性检验。
The estimations of GCA and SCA with this method were unbiased. The significance tests of GCA and SCA and differences between GCAs and SCAs were presented in this method.
本方法测定结果与灰化法一致，t检验表明两方法之间无显著性差异。
The t test showed that no difference was found. The present method is convenient, rapid and accurate.
并以标准回流法与之进行对比实验，经一致性t检验，两种方法并无显著性差异。
After comparing with standard backflow method and t inspection, we found these two methods had not significant difference.
然后介绍了模型的数据处理过程和输出结果，随后利用熵权法对模型做了进一步改进，消除了数据间的纵向差异性，并对改进前后的输出结果进行显著性检验，以验证模型的稳定性。
The paper then improves the model with entropy right method to eliminate the portrait diversity of data. To validate the model's stability, the paper makes a significance test of the four results.
结论：治愈一例患者的平均费用的显著性检验可以采用指数分布均数检验法进行分析，但要求资料近似服从指数分布；
Conclusion:the exponential mean test method can be used to test the average cost of the treatment curing one patient statistically when the data follows approximately an exponential distribution;
结论：治愈一例患者的平均费用的显著性检验可以采用指数分布均数检验法进行分析，但要求资料近似服从指数分布；
Conclusion:the exponential mean test method can be used to test the average cost of the treatment curing one patient statistically when the data follows approximately an exponential distribution;
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