1) likelihood classification
似然检验
2) likelihood ratio test
似然比检验
1.
Comparative research of goodness of fit between SV and GARCH models by likelihood ratio test;
SV和GARCH模型拟合优度比较的似然比检验
2.
Residual likelihood ratio test for fault diagnosis based on cost reference particle filter
基于CRPF的残差似然比检验故障诊断算法
3.
The present paper presents a testing method for a trend in a variety of mortality rate with the increase of dose level in the carcinogen assessment experiments, the MLE of relative parameters and the asympotic distribution of likelihood ratio test statistic.
本文给出分组评估实验中的 time-adjusted趋势检验和相关参数的极大似然估计 ,同时给出似然比检验统计量的渐近分
3) single likelihood test
单似然检验
1.
A small-target detector based on single likelihood test for hyperspectral imagery is presented to detect target when there is no a priori spectral signal of background and target,which presume the maximum entropy character of target.
针对背景和目标的先验光谱特征未知的条件,给出一种基于单似然检验的高光谱图像小目标检测器。
4) likelihood ratio tests
似然比检验
1.
Based on the Bayesian phylogenetic tree of cytochrome b gene complete sequences, the evolutionary pattern and process of two character pairs in Gallopheasants are comparatively studied by means of likelihood ratio tests.
基于细胞色素b基因全序列的贝叶斯系统树 ,应用似然比检验方法比较研究了Gallopheasants类群的 2个性状对的进化格局和过程 。
2.
Both likelihood ratio tests and Bayesian inference are employed to study the phylogeny of Phasianidae.
应用似然比检验和贝叶斯推论进行雉科分子系统学研究 。
5) likelihood ratio test (LRT)
似然比检验(LRT)
6) GLRT
广义似然比检验
1.
Having dyadic and recursive subdivision on image,having integral on Beamlet in each sub-square,the straight lines were approximated under GLRT and reconstructed.
利用一种Beamlet变换算法来提取遥感图像中的线性特征,通过对遥感图像按二进、递归进行划分,利用灰度信息,积分计算每一小块图像中的Beamlets,结合梯度信息,通过广义似然比检验GLRT(generalized likeli-hood ratio testing)来检测判断符合条件假设的Beamlets,重建线性目标。
2.
Having dyadic and recursive subdivision on image, having integral on beamlets in each sub-square, the straight lines are approximated under GLRT(Generalized Likelihood Ratio Testing) and reconstructed.
本文利用一种Beamlet变换算法来提取遥感图像中的直线特征,通过对遥感图像按二进、递归进行划分,利用灰度信息,积分计算每一小块图像中的Beamlets,结合梯度信息,通过广义似然比检验GLRT(Generalized Likelihood Ratio Testing)来检测判断符合条件假设的Beamlets,重建目标直线。
3.
Two Constant False Alarming Rate (CFAR) detection algorithms such as Generalized Likelihood Ratio Test (GLRT) and Adaptive Matched Filter (AMF) are studied and the intrinsic relationship between adaptive CFAR and Space Time Adaptive Processing (STAP) is revealed.
研究了广义似然比检验和自适应匹配滤波器两种恒虚警检测算法 ,揭示了它们与空时自适应处理之间的内在联系 。
补充资料：似然比检验
分子式：
CAS号：
性质：假设总体X是连续型的，其密度是p(x)，则x1，x2，…，xn，的联合密度为g(x1，x2,…,xn)= p(x1)。关于样本的密度函数g(Xl，X2，…Xn；θ)有两个假设，H0:g(x1，x2，…xn；θ0)=p(xi, θ0)和H1:g(x1,x2，…xn；θ1)=p (xi；θ1)。统计量L(X1，X2，…，Xn)=称为假设H0对H1的检验问题的似然比。以似然比作统计量的检验，称作似然比检验。
CAS号：
性质：假设总体X是连续型的，其密度是p(x)，则x1，x2，…，xn，的联合密度为g(x1，x2,…,xn)= p(x1)。关于样本的密度函数g(Xl，X2，…Xn；θ)有两个假设，H0:g(x1，x2，…xn；θ0)=p(xi, θ0)和H1:g(x1,x2，…xn；θ1)=p (xi；θ1)。统计量L(X1，X2，…，Xn)=称为假设H0对H1的检验问题的似然比。以似然比作统计量的检验，称作似然比检验。
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