同时对具有显著性的方程序进行单因子边际分析，结合实际观测样本获得了家畜生长的最适宜生态环境条件。

Meanwhile, carrying on single factor bound analysis to the equation which had significance, combining practice, observing the most suitable ecology conditions which the domestic animal growing in.

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其特点是显著性高、计算量小，并且不受噪声模型自回归阶次等于滑动平均阶次条件的限制。

This algorithm is characterized by its high significance and less computation, being not restricted to the condition that the autoregressive order should be equal to the moving average order.

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通过对模型进行数理统计检验，在显著性水平大于5%的条件下，其预测值与测定值不存在显著性差异。

The statistical results showed that there was no significant difference between the predicted and found values when the level of significance was over 5%.

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