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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