渐近分布

  • 网络asymptotic distribution;approximate distributions
渐近分布渐近分布
  1. 在一定的条件下,给出了F(x)的大分位数估计量及其渐近分布。

    The large quantile of F ( x ) is estimated under some conditions , and the asymptotic distribution is obtained .

  2. 在本文中,我们对从信息论准则AIC选择出的模型给出了渐近分布和渐近概率。

    In this paper , the asymptotic distribution and the asymptotic probability of the selected model by using the information criteria AIC are obtained .

  3. RaoandZhao(1992)提出了一种用随机加权的方法去逼近线性回归模型中M-估计的渐近分布。

    Rao and Zhao ( 1992 ) developed the random weighting method for M-estimates in regression models .

  4. 当γ<0时,在二阶正规变化条件下给出F(x)的尾端点的估计量及其渐近分布。

    As γ < 0 , the endpoint of F ( x ) is estimated . the asymptotic distribution of the endpoint estimator is also obtained under second regularly varying condition .

  5. 残差方差已知条件下BL模型参数的矩估计及其渐近分布

    The Moment Estimator for BL Model and Its Asymptotic Distribution with the Residual Error Variance Given Stability variance . estimation . under

  6. 横摇运动振幅渐近分布属于指数型分布,根据应用Markov过程理论得到的极值分布推导了最大值分布公式,同时提出了最大值预报方法。

    This paper discusses the prediction method for the extreme values of nonlinear ship rolling motion . According to the probability distribution function on the theory of Markov processes , the formula of predicting extreme values is obtained .

  7. 随机删失下光滑的Bahadur-Kiefer过程的渐近分布

    The Asymptotics of Smoothed Bahadur-Kiefer Process under Random Right Censorship

  8. 研究了满足Berman条件的局部平稳高斯过程{X(t),0≤t≤T}的最大值与最小值的联合渐近分布。

    Let X ( t ), 0 ≤ t ≤ T be locally stationary Gaussian process that satisfies Berman ' condition . We study the asymptotic joint distribution of maxima and minima .

  9. 然后,基于最小信息准则的原理,利用Schwarz信息准则(SIC),在多余参数已知和未知的情况下,分别给出了检验统计量,讨论了利用SIC方法给出的检验统计量的渐近分布。

    Applying Schwarz information criterion , we respectively derive the corresponding test statistics in terms of the principle of minimum information criterion , as redundant parameters are known and unknown . The asymptotic problem is considered with test statistic in the case of redundant parameters unknown .

  10. GP法是以随机干扰项是独立同分布假设为前提,其检验统计量渐近分布依赖于方差-协方差矩阵,临界值无法列成表格。

    GP method premises the hypothesis that random error follows an independently and identically distribution , and the asymptotic distribution of the test statistic is dependent on variance-covariance matrix ( in relation to data generation process ) . Then , critical values cannot be tabulated .

  11. 引入涵盖Gumbel,Frechet,Weibull三类极值渐近分布的广义极值分布(GED)模型,给出该模型参数的极大似然估计的计算公式,并由此导出设计基本风速及其置信上限的计算方法。

    Generalized extreme distribution ( GED ) model , which summarizes three gradually approximate distribution , i. e. Gumbel , Frechet and Weibull distribution , is introduced and the calculating formulas of GED 's parameters by using maximum likelihood estimate method are given .

  12. 本文得到了rij满足一定条件时,具有随机足标的最大值与部分和的联合渐近分布,平稳情形则作为特例被给出。

    The asymptotic joint distribution of maximum and sum of Gaussian sequence with random sample size are obtained under some conditions that depended on r ij , The case of stationary sequence is give as an example .

  13. 证明了最大似然估计的相合性,并且讨论了似然比检验在零假设下的渐近分布。

    Likelihood ratio test asymptotic distribution under H 0 was derived .

  14. 带有随机自由度的卡方随机变量的渐近分布

    Asymptotic Distribution of Chi-square Random Variable with Random Degree of Freedom

  15. 一类线性模型M-估计的渐近分布

    Asymptotic distribution of M estimators for a class of linear models

  16. 多个离散分布的信息差度量的渐近分布

    Asymptotic Distributions of a Measure of Information Discrepancy Among Multiple Discrete Distributions

  17. 成都日降水量年极大值的渐近分布

    Asymptotic distribution of yearly maximum of daily precipitation in Chengdu

  18. 多样本球性检验的似然比统计量的渐近分布

    Asymptotic distribution of likelihood ratio criterion for testing multisample sphericity

  19. 论准生命&寻找剖析生命伦理疑难问题的奥卡姆剃刀一类拟平稳序列之超过数点过程的渐近分布

    Asymptotic distributions of exceedances point process for a class of quasi stationary sequence

  20. 重庆地面最低气温年极值的渐近分布及参数估计

    Asymptotic distributions of yearly minimum surface temperature and parameter estimate in Chongqing district

  21. 平稳随机序列的变秩顺序统计量的联合渐近分布

    On limiting joint distributions of order statistics with variable ranks from Stationary Sequences

  22. 线性过程样本协方差序列的渐近分布

    The Asymptotic Distribution of Sample Covariances for Linear Processes

  23. 多维平稳序列最大值的渐近分布

    Asymptotic distributions for the maximum of multivariate Stationary Sequences

  24. 一类分布的尾端点估计量的渐近分布

    Asymptotic Distribution of the Endpoint Estimation of a Distribution

  25. 我国地面气温极值和地面风速极值的渐近分布

    On asymptotic distributions for extremes of surface temperature and surface wind over China

  26. 具随机扰动食物有限模型的参数估计及其渐近分布心路历程&食物

    Estimation of Parameters and Asymptotic Distribution of Food-Limit Species Model with Random Perturbation

  27. 随机观察时间内误码个数的渐近分布

    Asymptotic Distribution of the Number for Error in the Time of Random Observation

  28. 均匀分布位置参数的估计量的渐近分布及应用

    Asymptotic distribution and application of estimation of the location parameter on uniform distribution

  29. 非平稳高斯序列的极值之渐近分布

    Asymptotic distributions of extremes in nonstationary Gaussian Sequences

  30. 相依误差下回归函数导数估计的渐近分布

    Joint Asympotic Distribution of the Estimator for Derivatives of Regression Function Under Dependent Errors