mle

This paper introduces accelerated life testing GLM and MLE of parameters under the exponential distribution case.

本文利用对数线性模型给出了指数分布场合下恒定加速寿命试验的极大似然估计.并且说明极大似然估计比线性估计具有优良性。

The authors discuss asymptotic effciency of MLE in asymptotic median unbiased sense under regular conditions.

本文讨论正则条件下极大似然估计(MLE)在渐近中位无偏(AMU)意义下的渐近有效性.

There was a close relationship between the effect of MLE in reducing blood glucose and the content of DNJ.

MLE的降血糖效果与DNJ的含量有密切关系。

Empirical Bayes estimation ( EBE ) and maximum likelihood estimation ( MLE ) of reliability index are given, respectively.

分别给出了系统可靠性指标的经验 Bayes 估计,极大似然估计.

The MLE Algorithm on the Bayes Network for Machine Fault Diagnosis

用于机械故障诊断Bayes网络的MLE学习方法

Some maximumlikelihood estimation ( MLE ) methods for unknown parameters of the populationunder fuzzy observation are proposedinthis paper.

研究一维模糊随机变量情形总体未知参数的极大似然估计的两种方法———扩张原理法与随机集的可积选择法.

Empirical Bayes estimation ( EBE) and maximum likelihood estimation ( MLE) of reliability index are given, respectively.

分别给出了系统可靠性指标的经验Bayes估计，极大似然估计。

The Existence and Uniqueness of MLE for Weibull Distribution with Complete Data

完全样本下Weibull分布极大似然估计的存在唯一性

Carrier tracing can employ MLE method or compound software loop with Extend Kalman Filter.

载波跟踪可以采用最大似然估计的方法或者采用扩展卡尔曼滤波的复合软环.

Sieve MLE for partly linear model with case one interval censoring

Ⅰ型区间删失情形下部分线性模型Sieve极大似然估计渐近性质

Based on the MLE . of N , t he interval estimation and test statistics of N are given.

并在极大似然估计的基础上给出了N的区间估计及检验统计量.

The property and the differential characteristic of maximum likelihood direction-of-arrival estimation ( MLE) function for every variety of centrosymmetric array are investigated in the paper.

本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。

If the source signals are not Gaussian and time dependent, MLE can be efficiently utilized to develop BSE methods.

如果源信号是非高斯的且具有时间相关特性，极大似然估计可以开发有效地盲源提取方法。

The approach based on Maximum Likeihood ( MLE) treats the unknown temporal variable as a constant, which generates a larger estimate variance, In this paper, the relation model of known temporal information and unknown temporal variable has been established.

Kirilov的基于极大似然估计（Maxi－mumLikelihoodEstimation，MLE）的推理方法将未知时间变量看作常数，估计方差较大。

Then we give the condition and proof of MLE non-existence in dispersion model.

接着给出将方差作为试验因子的函数建立散度模型后参数MLE不存在的条件并证明。

Estimation of MLE and BCA confidence intervals for some models

某些模型的MLE和BCa区间估计

Based on the MLE. of N, t he interval estimation and test statistics of N are given.

并在极大似然估计的基础上给出了N的区间估计及检验统计量。