Results: a general framework of the model is established. The property of covariance density and the goodness of fit test are given.
结果:提出了模型的一般框架,并给出了协方差密度的性质以及模型的拟合优度检验。
The goodness of fit test of genetic model was significant, indicated that besides additive-dominance, other factors, such as epistasis, might affect grain plumpness.
一些组合的遗传模型的离回归测验显著,表明除了基因的加性-显性作用外,还有一些因子对充实度有影响。
Furthermore, it has been verified to have higher goodness-of-fit than graphical methods by comparing the ks test statistics for 10 CNN networks.
此外,通过对10个CNN网络进行KS检验统计量的比较,证实该方法比图形方法具有更好的拟合效果。
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