1) simulated maximum likelihood
模拟最大似然值
1.
The paper estimates both the static and dynamic versions of the model by using simulated maximum likelihood techniques.
文章使用模拟最大似然值方法估计了静态与动态模型。
2) Laplace AR(1)model
最大拟似然
1.
In this paper,conditional least squares estimation and maximum quasi-likelihood estimation are studied for a simplfied new Laplace AR(1)model,and their consistency and asymptotic normality are also considered.
研究了一个简化的新的Laplace AR(1)模型参数的条件最小二乘估计和最大拟似然估计,并讨论了它们的强相合性和渐近正态性。
3) maximum likelihood model interpolation
最大似然模型插值
1.
A fast speaker adaptation method named the maximum likelihood model interpolation (MLMI) has been developed as an effective speaker adoptation method.
最大似然模型插值 (maxim um likelihood model inter-polation,ML MI)算法是一种有效的快速自适应算法 ,它的主要缺点是需要存储大量的特定人模型。
2.
A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
本文提出了一种新的说话人自适应算法———最大似然模型插值。
4) maximum quasi-likelihood estimation
最大拟似然估计
5) maximum likelihood estimator
最大似然估计值
6) maximum likelihood model
最大似然模型
1.
In the paper,combining probability statistics with medical practice,we introduce the principle,method and usage of maximum likelihood model of diagnosing intestinal obstrution.
本文将概率统计学与医学实践相结合，介绍了肠梗阻诊断的最大似然模型的原理、方法及应用。
补充资料：最大似然法
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条