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conditional distribution中文是什么意思

  • 条件分布

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  • 例句与用法
  • 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
    一个信念网络是定义在一个非循环有向图上的概率模型;分布性指节点可以在不同的主机上,异质性指可以允许不同的条件分布。
  • 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
    摘要根据实测样本数据,对选择基本部位采用的条件分布理论和主成分分析两种数学理论进行对比研究,结果表明:两种方法选择的基本部位有差异,但在最终应用上差异不是很大。
  • 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
    由于条件失效率如同失效率一样,也有很好的直观意义且易获得。由此前人开创了通过所定义的两类条件失效率去刻画二个相依部件的二维寿命分布。
  • 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
    实证结果显示,劳动参与选择性以及劳工特性的报酬率在工资的条件分配中呈现明显的异质性,而由此推估的性别歧视比例也随著工资高低而改变,其中以低技术层次女性受到的歧视程度最为严重。
  • 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
    定义一个经过所有网格节点的随机路径,在给定n个条件数据的情况下,在第一个网格节点处从随机变量的条件分布中抽取一个值,将这个新值加入到条件数据集中,在给定的n + 1个条件数据的情况下,在节点处从随机变量的条件分布中抽取一个值,重新进行,直到所有节点被模拟完为止。
  • 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
    作为该模型的推广,我们在本文中提出了一个一般的arma ( p , q ) - garch ( r , s ) - m ( k )模型,并在详细给出模型的后验分布以及模型的所有参数的满条件分布的基础上,结合chibandgreenberg ( 1994 )与nakatsuma ( 2000 )等人的工作,对此新模型设计了一个可行的混合metropolis - hastings算法,简化了ma块与garch块的估计。
  • 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
    第二部分内容是本文应用理论知识的简要阐述,介绍了贝叶斯统计方法的理论,分别说明了先验信息的定义及如何获取,后验分布、条件分布和先验分布三者关系,统计推断方法及贝叶斯统计方法应用的关键。第三部分内容是对坦克射击学中外弹道学的修正理论作了简要的介绍。
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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