1) relative likelihood method
相对似然法
1.
On the basis of particle identification methods at BES, this paper proposes a so-called relative likelihood method.
本文在总结北京谱仪（ＢＥＳ）粒子鉴别方法的基础上，提出了相对似然法。
2) Log-likelihood method
对数似然法
3) Log-likelihood ratio algorithm
对数似然比算法
4) limit relative log-likelihood ratio
极限相对对数似然比
1.
By use of limit relative log-likelihood ratio, truncation method of random variables and martingale, the property of sequences of dependent continuous and discrete random variables is discussed, and a class of strong deviation theorems which are represented by inequalities are obtained.
通过极限相对对数似然比,利用随机变量截尾的方法并结合勒这一工具研究相依连续型和离散型随机变量序列的性质,得到一类用不等式表示的强偏差定理。
5) relative likelihood ratio of entropy density
相对熵密度似然比
1.
The limit properties of relative likelihood ratio of entropy density;
相对熵密度似然比的极限性质
6) relative value approximation
相对值近似法
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