prior density function 中文意思是什麼
prior density function
解釋
先驗密度函數-
The class of distributions includes the weibull, burr - type x, pareto and beta distributions. a proper general prior density function is suggested, and predictive density functions are obtained in one - and two - sample cases when the history sample is a type ii double censored sample. illustrative examples are given
在type雙刪失數據場合下,討論了雙參數burr - type分佈參數的貝葉斯估計,在所取的損失函數分別為平方損失, linex損失,熵損失函數下得到了參數的貝葉斯估計,並且給出一種近似演算法。 -
Kde is a non - parametric method which is capable of extracting the population ' s probability density function ( pdf ) based on data sample only without any a prior knowledge about the statistic properties of the data regime. in this thesis, it is conducted the implementation of the kde for monitoring the performance of batch production processes
用核函數法概率密度估計對間歇生產過程進行實時狀態監測的主要優點是它屬于非參數法概率密度估計的一種,不需要數據總體的任何先驗知識或是假設而直接基於實測數據樣本求出總體的概率分佈密度函數,擺脫了對不可靠的先驗知識的依賴。
分享友人