1、 Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate.
结果表明,这种方法改善了最小二乘回归中的多重共线性问题,具有实用价值.
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2、 The least Square estimates are not reliable when there exists multicollinearity in adjustment model.
当平差模型中存在复共线关系时,未知参数的最小二乘估计很不可靠.
来源:互联网
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