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statistical samples中文什么意思

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  1. This is understandable since the rapidity distribution of pure statistical sample is more uniform than that of corresponding data sample . the same analysis are performed at pythia monte carlo sample . the experimental results are compared with that of pythia and ecomb
    最后我们对pythia蒙特卡洛产生器)产生的事件样本作了同样的分析,并用所得结果与实验结果,以及华家照等人用ecomb蒙特卡洛产生器所得结果相比较
  2. The theories and application methods of some quality control techniques are introduced briefly , such as statistical sample , measurement system analysis , evaluation of measurement uncertainty , fault tree analysis bind even tree analysis , and their application in ndt & e is discussed
    简要介绍了统计抽样、测量系统分析、不确定度评定,故障树与事件树分析等质量控制技术的理论及应用方法,并结合无损检测与评价过程进行了讨论。
  3. 4 . during the investigation of distinction in mathematical cognitive structure , the author uses statistical sampling method . by test - analysis , observation , conversation and exchanging with teachers , the qualitative and quantitative analysis is made
    在对高中生数学认知结构个体差异的调查研究中,笔者首先采用整群+分层抽样的统计方法选取了样本,然后通过问卷测试?分析法、观察法、谈话法以及与数学教师的交流对调查结果做出了定量和定性的分析。
  4. These audits have not only brought a clear picture of the basic conditions of those enterprises and disclosed problems of fraudulent statement of revenues and expenditures , false statement of assets , liabilities , profits and losses , but also initially studied and tried on audit approaches and techniques like commitment system , statistical sampling , testing of the internal control systems and computer assisted audit techniques
    通过审计,不仅摸清了企业家底,揭露了企业财务收支中弄虚作假,资产负债损益不真实的问题,同时,还初步探索了承诺制、统计抽样审计、测评内部控制制度和计算机辅助审计等方法。
  5. Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory . when comes to bayesian classification , it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability . then , it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one
    蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法,它在用于解决贝叶斯分类时,首先根据已知的先验概率获得各个类标号未知类的条件概率分布,然后利用某种抽样器,分别得到满足这些条件分布的随机数据,最后统计这些随机数据,就可以得到各个类标号未知类的后验概率分布。

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