conditional distribution造句
例句與造句
- A belief network is a probability model defined on an acyclic directed graph ; distributed means nodes can be on different hosts , and heterogeneous means allowing different conditional distributions
一個信念網絡是定義在一個非循環有向圖上的概率模型；分布性指節點可以在不同的主機上，異質性指可以允許不同的條件分布。 - A comparison is made between the two results led by two mathematical theories which are the conditional distribution theory and the principal component analysis based on actual data
摘要根據實測樣本數據，對選擇基本部位采用的條件分布理論和主成分分析兩種數學理論進行對比研究，結果表明：兩種方法選擇的基本部位有差異，但在最終應用上差異不是很大。 - Because the relation of failure rate and conditional failure rate is similar to the relation of distribution and conditional distribution , condition failure rate function has visual meanings and is e - asily obtained
由于條件失效率如同失效率一樣，也有很好的直觀意義且易獲得。由此前人開創了通過所定義的兩類條件失效率去刻畫二個相依部件的二維壽命分布。 - The empirical results show that evident heterogeneity exists not only in labor supply selectivity but also in rates of return of worker ' s characteristics across the conditional distribution of wages
實證結果顯示，勞動參與選擇性以及勞工特性的報酬率在工資的條件分配中呈現明顯的異質性，而由此推估的性別歧視比例也隨著工資高低而改變，其中以低技術層次女性受到的歧視程度最為嚴重。 - Define a random route , which pass through all the grid node , on the condition of given n conditional datum , get a value on the first grid node from the conditional distribution of stochastic variable , add the new value into the conditional datum as a new conditional data . on the condition of current n + 1 conditional datum , get a new value from conditional distribution of stochastic variable on the next node again . then continue until all the nodes gets own value
定義一個經過所有網格節點的隨機路徑，在給定n個條件數據的情況下，在第一個網格節點處從隨機變量的條件分布中抽取一個值，將這個新值加入到條件數據集中，在給定的n + 1個條件數據的情況下，在節點處從隨機變量的條件分布中抽取一個值，重新進行，直到所有節點被模擬完為止。 - It's difficult to find conditional distribution in a sentence. 用conditional distribution造句挺難的
- Here we developed the general arma ( p , q ) - garch ( r , s ) - m ( k ) models , which maybe become increasingly important for estimating volatility returns and exogenous shocks for finance data . after we present the posterior distribution of the model and the full conditional distributions of all the parameters of the model , we develop a hybrid metropolis - hastings algorithm for estimating the parameters of arma - garch - m models based on the works of bayesian chib and greenberg ( 1994 ) and nakatsuma ( 2000 ) . here we simplified the estimations in ma and garch block
作為該模型的推廣，我們在本文中提出了一個一般的arma ( p , q ) - garch ( r , s ) - m ( k )模型，并在詳細給出模型的后驗分布以及模型的所有參數的滿條件分布的基礎上，結合chibandgreenberg ( 1994 )與nakatsuma ( 2000 )等人的工作，對此新模型設計了一個可行的混合metropolis - hastings算法，簡化了ma塊與garch塊的估計。 - In the second chapter , we explicate the theoretical knowledge , bayes statistic approach , which be applied in the paper , we show the definition of the prior distribution and how to select the prior information , we show the relation of prior distribution , conditional distribution and posterior distribution , we also show statistical inference approach and the key of how to use bayes statistic approach
第二部分內容是本文應用理論知識的簡要闡述，介紹了貝葉斯統計方法的理論，分別說明了先驗信息的定義及如何獲取，后驗分布、條件分布和先驗分布三者關系，統計推斷方法及貝葉斯統計方法應用的關鍵。第三部分內容是對坦克射擊學中外彈道學的修正理論作了簡要的介紹。