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bootstrap估计     
相关语句
  bootstrap estimation
     BOOTSTRAP ESTIMATION OF UNCERTAINTY AND ITS APPLICATION
     不确定性的Bootstrap估计及其应用
短句来源
     Bootstrap Estimation And Its Applications
     Bootstrap估计及其应用
短句来源
     Based the Concergence of Bootstrap estimation of m dependent mean,almost sure convergence on the Bootstrap estimator of m dependent sample mean is proved
     在m相依样本均值的Bootstrap估计的相合性的基础上,证明了m相依样本均值函数的Bootstrap估计的相合性。
短句来源
     In this paper,the consistency of the smooth Bootstrap estimation for the distribution of the standard sample mean is discussed and the convergence rate of the smooth Bootstrap approximation of the distribution of the sample mean is given.
     本文讨论了标准化样本均值分布的光滑化 Bootstrap估计的相合性 ,并给出了这种逼近的收敛速度。
短句来源
  bootstrap estimator
     A bootstrap method in the heteroscedastic linear modal is proposed based on the weighted centrical residuals and the robustness of bootstrap variance estimator is obtained, under the centain conditions, the consistencey of bootstrap estimator is proved.
     本文通过对加权中心化残差重新抽样,建立了异方差线性模型回归系数可估函数的最小二乘估计的Bootstrap估计,证明了由此导出的Bootstrap方差估计具有一定的稳健性,并在一定条件下,得到了Bootstrap估计的相合性。
短句来源
     Based the Concergence of Bootstrap estimation of m dependent mean,almost sure convergence on the Bootstrap estimator of m dependent sample mean is proved
     在m相依样本均值的Bootstrap估计的相合性的基础上,证明了m相依样本均值函数的Bootstrap估计的相合性。
短句来源
     This paper investigates the smoothed bootstrap approximation for the kernel estimator fn(t) of probability density. The sufficient conditions for the smoothed bootstrap approximation to be valid is established. Moreover, it is shown that the variance of the smoothed bootstrap estimator f(t) converges to the asympototic variance of fn(t) almost surely.
     本文研究随机删失概率密度估计的光滑bootstrap逼近.给出了光滑bootstrap逼近成立的充分条件,并证明了概率密度的光滑bootstrap估计方差几乎处处收敛到概率密度核估计的渐近方差.
短句来源
  bootstrap estimate
     STRONG CONSISTENCY OF BOOTSTRAP ESTIMATE IN A LINEAR REGRESSION MODEL
     回归模型中参数的Bootstrap估计的强相合性问题
短句来源
     Based on Bootstrap estimate method being introduced into the reliability statistical analysis, the Bootstrap interval estimate method of the reliability parameter and characteristic value is proposed.
     将Bootstrap估计方法引入到可靠性统计分析,提出了可靠性参数和特征量的Bootstrap区间估计方法;
短句来源
  bootstrap approximation
     In the second chapter, we propose the Bootstrap method in two-dimensional real signal model, and give the Bootstrap estimators of the parameters by virtue of the construction method of Bootstrap approximation in regressive model and prove the strong consistency and asymtotic normality.
     在第二章中,我们将Bootstrap估计方法运用到二维实值信号模型中,借助于回归模型中Bootstrap逼近的构造方法,给出了二维实值信号模型参数的自助估计,并证明了自助估计具有强相合性和渐近正态性。
短句来源
     Bootstrap Approximation of the LS Estimate of the Regression Parameters
     回归系数最小二乘估计的Bootstrap估计
短句来源
     In this paper,the consistency of the smooth Bootstrap estimation for the distribution of the standard sample mean is discussed and the convergence rate of the smooth Bootstrap approximation of the distribution of the sample mean is given.
     本文讨论了标准化样本均值分布的光滑化 Bootstrap估计的相合性 ,并给出了这种逼近的收敛速度。
短句来源
     Under centain conditions, this bootstrap approximation is shown to be asympotically valid.
     在一定条件下,证明了Bootstrap估计的相合性。
短句来源
     This paper investigates the smoothed bootstrap approximation for the kernel estimator fn(t) of probability density. The sufficient conditions for the smoothed bootstrap approximation to be valid is established. Moreover, it is shown that the variance of the smoothed bootstrap estimator f(t) converges to the asympototic variance of fn(t) almost surely.
     本文研究随机删失概率密度估计的光滑bootstrap逼近.给出了光滑bootstrap逼近成立的充分条件,并证明了概率密度的光滑bootstrap估计方差几乎处处收敛到概率密度核估计的渐近方差.
短句来源
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      bootstrap estimation
    Posterior distributions for the three databases are presented and discussed and the consequences of implementing bootstrap estimation procedures are also shown.
          
    The bootstrap estimation for variance and its robustness in linear regression is considered.
          
    Bootstrap estimation of the asymptotic variances of statistical functionals
          
    On bootstrap estimation of the distribution of the studentized mean
          
    We consider the estimation of error rate of the linear combination classification procedure by using the leave-one-out estimation and bootstrap estimation.
          
    更多          
      bootstrap estimator
    The performance of the bootstrap estimator was assessed in Monte Carlo studies against another general estimator obtained by the classical "combination-of-observations" or incremental method.
          
    A modified bootstrap estimator of the asymptotic variance of a statistical functional is studied.
          
    A smoothed bootstrap estimator for a studentized sample quantile
          
    Ther-th-order kernel-smoothed bootstrap estimator is known to yield an impressively small relative error of orderO(n-r/(2r+1)).
          
    A Monte Carlo study of the 632 bootstrap estimator of error rate
          
    更多          
      bootstrap estimate
    This is seen to be essentially the same as using the smoothed bootstrap estimate of the mean integrated squared error.
          
    In this paper consistency of the bootstrap estimate of variance of
          
    It is shown that the Bootstrap estimate of the variance of a statistic which is a function of means, is consistent.
          
    An asymptotic result establishing the second-order accuracy of this bootstrap estimate up to O(n-1log?(n)) (close to the rate obtained in the i.i.d.
          
    The idea is to choose the number of bins that minimizes the circumference (or a bootstrap estimate of the expected circumference) of the frequency histogram.
          
    更多          
      bootstrap methods
    Confidence intervals for the parameter estimates were determined using bootstrap methods.
          
    See, for example, jackknife and bootstrap methods.
          
    Through Monte Carlo simulation, these alternative bootstrap methods are compared, based on the mean and the mean square error of the estimators, with the well-known parametric and nonparametric bootstrap techniques for time series models.
          
    The simultaneous confidence bands based on bootstrap methods are presented.
          
    The weird and conditional bootstrap methods are used for resampling.
          
    更多          
      其他


    In this paper, some large sample properties of estimages of error rate by delta and jackknife methods in discriminant analysis are established. An estimate by bootstrap method is also considered.

    对于经典的两个正态总体的判别问题,我们讨论了误判概率的展开估计,Jackknife估计的大样本性质,并建议了误判概率的一种Bootstrap估计方法。

    In this paper we make a Bootstraping estimation of parameters for Gamma Distribution by using the maximum likelihood estimation.It is proved that Maximum Likelihood Bootstraping Estimatioin (MLBE)is consistent in the case of large-samples.The results of Monte-Carlo experiment indicate that MLBE is better than the Maximum Likelihood Estimation(MLE)in the case of small samples.The con- fidence intervals of parameters for Pearson Type-Ⅲ distribution is also obtained.

    本文以二参数(三参数)Gamma 分布的极大似然估计为基础构造出其参数的Bootstrap 估计(简记 MLBE 估计),同时证明了这种估计在大样本情况下是相合的。通过计算机模拟表明:MLBE 估计在小样本下比 MLE 估计更有效,特别是 MLBE 估计能很好地解决三参数 Gamma 分布的区间估计问题。

    A bootstrap method in the heteroscedastic linear modal is proposed based on the weighted centrical residuals and the robustness of bootstrap variance estimator is obtained, under the centain conditions, the consistencey of bootstrap estimator is proved.

    本文通过对加权中心化残差重新抽样,建立了异方差线性模型回归系数可估函数的最小二乘估计的Bootstrap估计,证明了由此导出的Bootstrap方差估计具有一定的稳健性,并在一定条件下,得到了Bootstrap估计的相合性。

     
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