一般在做有母數統計推論時都會有母體的分配假設，如果分配假設與實際分配差異頗大，那麼推論出的結論可信度就不高，這時候密度函數的估計就是很重要的一個環節；本文對密度函數的估計有別於文獻的方法，從累積分佈函數出發，利用條樣平滑法平滑累積分佈函數，再對累積分佈函數配適迴歸模型，最後得到密度函數估計量，最後經過模擬資料的驗證，證實發展出的“條樣平滑法”比文獻中的“核心函數法”出色許多，因此對於母體分配的課題又多了一項好用的工具。

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