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非参数估计 meaning in English

nonparametric estimation

Examples

  1. This paper studies the nonparametric estimates of general weight function of the nonparametric regression function with fixed design points , when the model error is martingale sequence , and we give the optimal convergence rate under some conditions
    摘要当误差为鞅差序列时,研究固定设计点列情形下非参数回归函数一般权函数的非参数估计,并在一些基本条件下给出了估计的一致最优强收敛速度。
  2. Because the return rate has many good characters such as the following , we estimate the return rate by use of the characters . theorem 1 [ 20 ] set kernel function k ( u ) and density function f ( x ) satisfy the following conditions
    第三部分研究在收益率不服从正态分布的情况下用核估计方法对股票的收益率密度做出估计,然后算出在期满日时的股价,再用非参数估计方法对欧式看涨期权价值进行评估
  3. At last , combining the related knowledge of wavelet theory and hidden markov models , we introduce wavelet transformation for nonparametric estimation of hmm ' s and discuss how to choose resolving scale of haar - wavelet orthogonal series " estimation
    最后,结合小波理论和隐马尔科夫模型的相关知识,将小波变换应用到隐马尔科夫模型非参数估计问题中来,并探讨了其中haar小波正交级数估计量分解尺度的选取。
  4. Under the frame of natural gradient algorithm , an ica algorithm based on adaptive kernel estimation is proposed , which can separate arbitrary mixed signals ( such as super - gaussian and sub - gaussian , symmetric and asymmetric signals )
    摘要在自然梯度算法的框架下,本文利用随机变量概率密度函数非参数估计的自适应核函数法,给出了一种能够对任意混合信号(超高斯和亚高斯信号,对称和非对称分布信号)进行盲分离的算法。
  5. Chapter 2 mainly explained why reduced the national economic accounting . proceed with public goods characteristic of the national economic accounting at first , used supply - demand theory , external economic theory to expound that national economic accounting reduction can yet be regarded as one effective way for the public to use it . meanwhile , each social economic body playback with the development of
    第四章主要结合统计学中的非参数估计方法、主成分分析方法、因子分析方法,以及粗糙集理论等进行实证检验,实现在保持信息量一定的条件下宏观经济核算的简约化,该部分主要从降维方法入手来实现简约化。
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Related Words

  1. 估计
  2. 估计流量
  3. 估计利润
  4. 费用估计
  5. 估计不足
  6. 试样估计
  7. 估计率
  8. 主观估计
  9. 估计重量
  10. 火情估计
  11. 非参数分布分析
  12. 非参数分类
  13. 非参数归纳
  14. 非参数回归方法
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