normal probability density distribution 中文意思是什麼
normal probability density distribution
解釋
正態概率密度分佈- normal : adj 1 正常的，平常的，普通的；平均的。2 正規的，標準的，額定的，規定的。3 智力正常的，精神健全的...
- probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
- density : n. 1. 稠密；濃厚。2. 【物理學】濃度；密度；比重。3. 愚鈍，昏庸。
- distribution : n 1 分配，分發，配給；分配裝置[系統]；配給品；配給量；【經濟學】配給方法，配給過程；分紅；【法律...
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The probability of normal r. v. with absolute value less then and equal to one, two, and three unit standard deviations are calculated from error function, the cumulate probability distribution of normal density
常態分佈隨機變數絕對值小於等於一個、兩個、三個標準差之機率分別代入累積機率分佈函數（誤差函數）算出其對應之機率。 -
The ica - based method without assumption that data follow normal distribution, can easily calculate the joint probability density function of independent components ( ics ), because each of ics statistically independent
採用獨立分量分析的方法可以避免數據服從正態分佈的假定，且由於各個獨立成分之間統計獨立，其聯合概率密度函數可以很方便的求取。 -
Speech separation algorithm based on laplace normal mixture distribution probability density function estimation
基於拉普拉斯正態混合分佈概率密度函數估計的語音分離演算法 -
Finally, a new kind of methods on how to classify a sample into one of the several known populations in terms of posterior probability ratio established by the sample ' s predictive density functions when the unknown parameters " prior distributions are diffuse prior and minnesota prior or normal - inverted wishart distribution
最後，利用參數的充分統計量，根據后驗概率比構造了一類新的基於擴散先驗分佈和正態?逆wishart先驗分佈的多總體貝葉斯分類識別方法。
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