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modified maximum likelihood
相关语句
  修正极大似然
     New Modified maximum likelihood estimations of parameter μ and σ of zero failure data of double parameter exponential distribution are given.
     对双参数指数分布的无失效数据 (ti,ni) ,给出了参数 μ和σ的新的修正极大似然估计 ,从而可以得到无失效数据可靠度的估计 .
短句来源
     New Modified Maximum Likelihood Estimation of Parameter of Zero-failure data of Double-Parameter Exponential Distribution
     双参数指数分布无失效数据的新的修正极大似然估计
短句来源
     n the paper,modified maximum likelihood estimation and least squares estimation of parameter μ and σ of zerofailure data of double exponential distribution are given,and Bayesian estimation and hierarchical Bayesian estimation of failure probability Pi={T
     文章对双参数指数分布的无失效数据(ti,ni),给出了参数μ和σ的修正极大似然估计和最小二乘估计,并给出了失效概率pi=p{T<ti}的Bayes估计和多层Bayes估计,从而可以得到无失效数据可靠度的估计。
短句来源
     First of all, least square method and modified maximum likelihood estimation of zero-failure data for the exponential distribution, the Weibull distribution, the normal distribution and the logarithm normal distribution are given, among them, the Bayes method in the estimation to the failure probability is introduced.
     首先,分别采用最小二乘法和修正极大似然估计法对指数分布、Weibull分布、正态及对数正态分布的无失效数据处理进行了研究,其中,在对失效概率的估计中引入了Bayes方法。
短句来源
     In this paper, after reviewing some of these methods a new method CMSR, which improves and combines the Modified Maximum Likelihood (MML) and Sequential Reduction (SR) methods, is presented.
     本文评论了几种近似置信限方法,提出了改进和结合使用修正极大似然估计(MML)和逐次压缩(SR)的CMSR方法。
短句来源
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  “modified maximum likelihood”译为未确定词的双语例句
     The unknown parameters in SGL design were estimeted by the modified maximum likelihood method.
     SGL设计的参数采用修饰极大似然法估计。
短句来源
     secondly use the modified maximum likelihood method introduced by Tiku for estimate means of observed sample data.
     (2) 利用Tiku提出的改进型极大似然法来估计均值。
短句来源
     The unknown parameters in Weibull distribution can be identified by modified maximum likelihood estimation (MMLE), the best linear invariance estimation (BLIE) and linear regression.
     采用改进的极大似然法(MMLE)、最好线性不变 (BLIE)和线性回归技术估计威布尔分布中的未知参数。
短句来源
     Therefore,a modified maximum likelihood(MEML) registration algorithm is presented by correcting this assumption.
     本文对该配准算法的似然函数进行了修正,提出了一种修正的精确极大似然误差配准(MEML)算法.
短句来源
     THE MODIFIED MAXIMUM LIKELIHOOD ESTIMATION FOR THE EXPONENTIAL DISTRIBUTION UNDER TYPE I CENSORING
     定时截尾下指数分布的修正最大似然估计
短句来源
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  相似匹配句对
     is maximum.
     的影响极大。
短句来源
     of modified P.R.
     R.
短句来源
     The Modified Sliding-Window Maximum A Posteriori
     改进的滑动窗最大后验译码
短句来源
     A modified exact maximum likelihood registration algorithm
     一种修正的精确极大似然误差配准算法
短句来源
     the simulationshows the modified gentic algorithms can find global maximum.
     实验表明,改进算法具有全局优化能力。
短句来源
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  modified maximum likelihood
The priors and posteriors from this empirical Bayesian approach are compared with the estimates from Lee and Wang's modified maximum likelihood approach using the same data.
      
The existence of a smooth solution to the modified maximum likelihood problem and the monotonicity together imply the strong convergence of the new algorithm.
      
Therefore, this study develops a modified maximum likelihood predictor (MMLP) for Type II censored data obtained from a normal distribution with unknown mean and variance.
      
A modified maximum likelihood predictor (MMLP) was derived to overcome the problems of MLP.
      
Predicting type II censored data from factorial experiments using modified maximum likelihood predictor
      
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Eight simulated data sets are generated by Monte Carlo simulation to compare the relative accuracy of methods for estimating variance components. These methods selected are Analysis of variance ( ANOVA ) which does not take the fixed herd-year-season effects into account, Henderson method 1 , Henderson method 3, Maximum Likelihood ( ML ) , Modified Maximum Likelihood(MOML ) and Restricted Maximum Likelihood ( REML ) . The simulation results indicate that the estimates of REML are...

Eight simulated data sets are generated by Monte Carlo simulation to compare the relative accuracy of methods for estimating variance components. These methods selected are Analysis of variance ( ANOVA ) which does not take the fixed herd-year-season effects into account, Henderson method 1 , Henderson method 3, Maximum Likelihood ( ML ) , Modified Maximum Likelihood(MOML ) and Restricted Maximum Likelihood ( REML ) . The simulation results indicate that the estimates of REML are most accurate and the estimates of ANOVA are most biased, compared with those of the other methods.

本文通过蒙特卡罗模拟产生的八个模拟资料比较了我国常用的方差分析法(不考虑场年季效应)、Henderson方法1、Henderson方法3、最大似然法、改进最大似然法与约束最大似然法。结果表明:方差分析法估计值偏差最大,而约束最大似然法的估计值最准确。

Up to now there are some difficulties for the classical theory of non-randomized exact confidence limit of system reliability. Consequently, a lot of methods of approximate confidence limit were developed. In this paper, after reviewing some of these methods a new method CMSR, which improves and combines the Modified Maximum Likelihood (MML) and Sequential Reduction (SR) methods, is presented.

系统可靠性非随机化经典严格置信限理论迄今存在困难,因此发展了多种近似置信限方法。本文评论了几种近似置信限方法,提出了改进和结合使用修正极大似然估计(MML)和逐次压缩(SR)的CMSR方法。

In the engineering or economical system, identification of a discrete-time linear dynamic model by least square method is worstly effeeted by "outlier", and thus it is necessary to strength the "robustness" of system identlfication. This article describes that for robust identification system's parameter, one may adopt the robust multiple linear regression method of mathematical statistics. For this, the author proposes two measures: firstly, use the iterative computation method of weightcd least square estimate...

In the engineering or economical system, identification of a discrete-time linear dynamic model by least square method is worstly effeeted by "outlier", and thus it is necessary to strength the "robustness" of system identlfication. This article describes that for robust identification system's parameter, one may adopt the robust multiple linear regression method of mathematical statistics. For this, the author proposes two measures: firstly, use the iterative computation method of weightcd least square estimate in which weighting coefficients is determined by some special M—estimate function; secondly use the modified maximum likelihood method introduced by Tiku for estimate means of observed sample data. On the basis of these two points, algorithm procedure is presented. On computer we iden tify the practical example. The results prove that proposed method is effective, simple and easy.

工程技术和经济系统线性离散数学模型的最小二乘法辨识受观测数据的异常值影的很大,必须加强系统辨识的稳健性。本文讨论了运用数理统计中的多元线性回归稳健估值来辨识系统参数,提出两个措施:(1) 采用加权最小二乘的迭代算法,加权系数是由M—估计的特球函数来确定;(2) 利用Tiku提出的改进型极大似然法来估计均值。据此,文章给出了参数稳健辨识的算法程序。三个实例证明该法有效、简单、方便。

 
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