在一般的研究過程中均可能有離群觀測值產生，只要有離群觀測值存在，

就可能對研究結果產生極重大的影響。在統計學上常用的參數估計式中，

有許多極易受離群觀測值影響。因此本研究採用模糊族群分析混合最大概

似估計演算法運用在參數估計上，以去除離群觀測值對分析結果的影響。

本研究主要針對相關係數與迴歸係數的估計進行探討，利用演算法中所求

得之隸屬度，計算穩健相關係數和穩健迴歸係數，以期能正確估計參數值

。

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