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conditional distribution中文是什么意思

  • 條件分布

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  • 例句與用法
  • 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(gè)信念網(wǎng)絡(luò)是定義在一個(gè)非循環(huán)有向圖上的概率模型;分布性指節(jié)點(diǎn)可以在不同的主機(jī)上,異質(zhì)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(jù)實(shí)測樣本數(shù)據(jù),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(shù)學(xué)理論進(jìn)行對比研究,結(jié)果表明:兩種方法選擇的基本部位有差異,但在最終應(yīng)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(chuàng)了通過所定義的兩類條件失效率去刻畫二個(gè)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(shí)證結(jié)果顯示,勞動(dòng)參與選擇性以及勞工特性的報(bào)酬率在工資的條件分配中呈現(xiàn)明顯的異質(zhì)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(shù)層次女性受到的歧視程度最為嚴(yán)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(gè)經(jīng)過所有網(wǎng)格節(jié)點(diǎn)的隨機(jī)路徑,在給定n個(gè)條件數(shù)據(jù)的情況下,在第一個(gè)網(wǎng)格節(jié)點(diǎn)處從隨機(jī)變量的條件分布中抽取一個(gè)值,將這個(gè)新值加入到條件數(shù)據(jù)集中,在給定的n + 1個(gè)條件數(shù)據(jù)的情況下,在節(jié)點(diǎn)處從隨機(jī)變量的條件分布中抽取一個(gè)值,重新進(jìn)行,直到所有節(jié)點(diǎn)被模擬完為止。
  • 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(gè)一般的arma ( p , q ) - garch ( r , s ) - m ( k )模型,并在詳細(xì)給出模型的后驗(yàn)分布以及模型的所有參數(shù)的滿條件分布的基礎(chǔ)上,結(jié)合chibandgreenberg ( 1994 )與nakatsuma ( 2000 )等人的工作,對此新模型設(shè)計(jì)了一個(gè)可行的混合metropolis - hastings算法,簡化了ma塊與garch塊的估計(jì)。
  • 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(nèi)容是本文應(yīng)用理論知識的簡要闡述,介紹了貝葉斯統(tǒng)計(jì)方法的理論,分別說明了先驗(yàn)信息的定義及如何獲取,后驗(yàn)分布、條件分布和先驗(yàn)分布三者關(guān)系,統(tǒng)計(jì)推斷方法及貝葉斯統(tǒng)計(jì)方法應(yīng)用的關(guān)鍵。第三部分內(nèi)容是對坦克射擊學(xué)中外彈道學(xué)的修正理論作了簡要的介紹。
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