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Comparison between parametric results showed that the promotion on Specific Load and energy-absorbing capability increases with the impact velocity for various honeycombs.
In this paper, I report results from a study making the more rational comparison between parametric and non-parametric methods: ANCOVA and Mann-Whitney.
The results of the comparison between parametric models show that log-logistic distribution was the best candidate according to the AIC value (54.4) compared with the others: exponential (68.1), Weibull (59.2), log-normal (64.1), and generalized gamma (60.9).
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The Student's t-test was used for comparisons made between parametric data, and nonparametric data were analyzed with the Mann-Whitney U test.
As our data are generated from small patient populations and these data that are not normally distributed, we used the Mann–Whitney U-test for comparison between non-parametric results.
Finally, experimental results are provided when applying the method to two multi-link robot learning tasks and a comparison between structural and parametric evolutionary strategies on neuro-controllers is shown.
The comparison between two non-parametric groups was done using Mann–Whitney U test.
Parametric results from other works are also provided in Tables 2 and 3 for ease of comparison between the nonparametric and parametric methods.
The parametric comparison between human and rat hepatocyte TK models for arsenic, presented in Table 2, provides insight into factors that affect arsenic metabolism in hepatocytes.
Statistical analysis was analyzed with Student's t-test for parametric comparison between 2 groups, or analysis of variance (ANOVA) with post-hoc testing by Fisher's protected least significant difference (PLSD) test for multiple comparisons.
Student's t-test was used for parametric comparison between NPSR1-A and NPSR1-B, and p ≤ 0.05 was regarded as significant Human embryonic kidney cells (HEK-293) express low levels of endogenous NPSR1 [ 27].
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