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经验bayes方法
相关语句
  empirical bayes method
     Empirical Bayes Method of Reliability Evaluation forSemiconductor Parallel System
     半导体器件并联系统可靠性评估的经验Bayes方法
短句来源
  empirical bayes approach
     We propose a selection procedure for selecting the best Logistic population compared with a control by employing the empirical Bayes approach. The rate of the convergence of proposed selection rule is given.
     利用经验Bayes方法,我们提出了一套选择带控制的最优Logistic总体的方案,并给出了择优统计量的收敛速度.
短句来源
  empirical bayesian method
     EMPIRICAL BAYESIAN METHOD IN RELIABILITY ENGINEERING(Ⅱ)
     可靠性工程中的经验Bayes方法(Ⅱ)
短句来源
     Methods: The empirical Bayesian method is applied and the follows are supposed: ①two samples have normal distribution with the same variance ②the parameters have normal prior distribution ③there is square loss.
     方法:假定(1)样本来自同方差正态总体(2)参数具有正态先验(3)在平方损失下,采用了经验Bayes方法
短句来源
  “经验bayes方法”译为未确定词的双语例句
     Empirical Bayes Rules for Selecting Good PopulationsI. Discrete Case
     选择好总体的经验Bayes方法——Ⅰ.离散形分布情况
短句来源
     In this paper, we first give the empirical Bayes estimates of the reliability performances for cold standby system.
     利用经验Bayes方法对冷贮备系统的可靠性指标进行了分析。
短句来源
     These including:Based on the reliability checkout of experiment data,the optimum fit of probability model by finite contrast method can be used to avoid Type II error and the estimation of distribution parameter with extended Bayesian method to avoid the phenomenon that the results err from matrix owing to the lack of experiment data.
     在土工实验数据进行可靠性检验的前提下,用优度检验的有限比较法拟合概率模型,可以避免纳伪现象的发生:用经验Bayes方法估计分布参数可以解决由于实验数据不足而可能导致的估计结果背离母体的现象。
短句来源
     Emperical Bayesian Method in Reliability Engineering
     可靠性工程中的经验Bayes方法(Ⅰ)
短句来源
     Emperical Bayesian Method in Reliability Engineering
     可靠性工程中的经验Bayes方法(Ⅲ)
短句来源
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      empirical bayes method
    MARS: selecting basis functions and knots with an empirical Bayes method
          
    An empirical Bayes method to select basis functions and knots in multivariate adaptive regression spline (MARS) is proposed, which takes both advantages of frequentist model selection approaches and Bayesian approaches.
          
    This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table.
          
    The empirical Bayes method is discussed from this point of view.
          
    The method is illustrated with a data set, and the estimate is compared with an earlier one based on an empirical Bayes method.
          
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      empirical bayes approach
    We then compared this approach with an empirical Bayes approach, which takes into account not only the mean value, but also the error associated with the independently determined parameters.
          
    In conclusion, an empirical Bayes approach to parameter estimation resulted in a better model fit, different final parameter estimates, and more realistic parameter precisions.
          
    On the empirical bayes approach to classification in the case of discrete multivariate distribution having only finite mass poin
          
    Empirical Bayes approach to multiparameter estimation: with special reference to multinomial distribution
          
    Empirical Bayes approach to estimation of many parameters is considered.
          
    更多          
      empirical bayesian method
    We present a variance component approach nested in an empirical Bayesian method, which simultancously takes into account additive, dominance and epistatic effects due to multiple interacting QTL.
          
    An empirical Bayesian method is used in this work, but the suggested approach could incorporate prior information.
          


    Model with components of variance is frequently used in quality control, animal breeding experiments, and elsewhere. For this model, various estimators of variance components have been proposed.But they have a common shortcoming: the estimators are not guaranteed to be nonnegative. In this paper we studied the empirical Bayes estimation of variance components in the one-way random model with balanced data. For the square loss function, an empirical Bayes estimator of the model parameters is constructed by the...

    Model with components of variance is frequently used in quality control, animal breeding experiments, and elsewhere. For this model, various estimators of variance components have been proposed.But they have a common shortcoming: the estimators are not guaranteed to be nonnegative. In this paper we studied the empirical Bayes estimation of variance components in the one-way random model with balanced data. For the square loss function, an empirical Bayes estimator of the model parameters is constructed by the estimation of kernel density and its partial derivatives. The estimator is nonnegative. It is shownthat the estimator is asymptotically optimal with its convergence rate arbitrarilyclose to 0(n-1/2) under suitable conditions.

    对于在质量控制、生物育种以及计量经济等方面有着广泛应用的单向分类随机模型 其中y_(ij)为观测数据,ε_i~N(0,σ_1~2)为随机效应,ε_i~N(0,σ_2~2)是随机误差,通常要求考虑对其参数μ,σ_1~2,σ_2~2作出估计,特别是对方差分量σ_1~2,σ_2~2的估计。而在目前常见的估计方法中,大都有一个共同的缺点,即不能保证方差分量估计的非负性。本文采用经验Bayes方法,在平方损失下,利用密度函数及其偏导数的核估计构造出方差分量的一个经验Bayes估计,这个估计是非负的。并证明了这种估计是渐近最优的,在一定条件下,其收敛速度可任意地接近于0(n~(-1/2)。

    There are differences or contradiction among the effect estimates in teaching-effect tvaluation. Taking the viewpoint of Bayes and radomizing the teaching effect, this paper constructs an algorithm by means of Hierachical Linear Model ( HLM ) and empirical Bayesian method. The flow chart is proposed with illustrative example. In the context, it is proved that under certain conditions, the joint distribution of conditional normal variable z and condition variable with normal distribution is still that of multi-normal...

    There are differences or contradiction among the effect estimates in teaching-effect tvaluation. Taking the viewpoint of Bayes and radomizing the teaching effect, this paper constructs an algorithm by means of Hierachical Linear Model ( HLM ) and empirical Bayesian method. The flow chart is proposed with illustrative example. In the context, it is proved that under certain conditions, the joint distribution of conditional normal variable z and condition variable with normal distribution is still that of multi-normal variable.

    各个教学点单独估得的效益值不尽相同甚至是矛盾的.本文采用层次线性模型和经验Bayes方法,将教学效益看成是随机的而综合求得教学效益的估计值.本文还证明了在给定条件下条件正态变量与条件变量(亦服从正态分布)的联合分布仍为正态分布.最后给出了算法的框图和例子.

    It is the fiest time that we advance the Bayes model of quality alarm aboutthe process of unsteady production.. In this paper we regard the inspected qualityindex X as a random variable of the probability Space and θ as a randomvariable of the probability space (@,B@, ac)and ahA as an unknown parameter and nas a known padals variety. rs belongs to n. We adopt the experienced bayal method, according to the older sample X1, X2,.., Xn and the later samPle X0, then get the esthate of the funCtion of θ. In the middle...

    It is the fiest time that we advance the Bayes model of quality alarm aboutthe process of unsteady production.. In this paper we regard the inspected qualityindex X as a random variable of the probability Space and θ as a randomvariable of the probability space (@,B@, ac)and ahA as an unknown parameter and nas a known padals variety. rs belongs to n. We adopt the experienced bayal method, according to the older sample X1, X2,.., Xn and the later samPle X0, then get the esthate of the funCtion of θ. In the middle of these equalities, xo stands for the corresponding quality standard, θ0 stands for the trUe ineaSme of the present parameter θ. While a(0) exceeds the permitted waste product rate ac, an alarm ofquality stituation about the process of produCtion that the present sample stands for will be sent out.

    本文首次提出了非稳定生产过程质量报警的Bayes模型。文中将被考察的质量指标X视作概率空间上的随机变量,而视θ为概率空间上的随机变量,为未知参数,为某一已知的参数分布族。采用经验的Bayes方法,依据历史样本X1,X2,…,Xn及当前样本X0,获得θ的函数的估计其中x0为相应的质量标准θ0为当前参数θ的真值。当大于允许废品率α0时,将对当前样本所代表的生产过程的质量状况发出报警。

     
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