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 。
3)Generalized Likelihood Ratio Test(GLRT)广义似然比检验
1.The Generalized Likelihood Ratio Test(GLRT) is used to establish a binary hypotheses detector and estimates the unknown parameters that represent the background in the detector from the image.它通过广义似然比检验(GLRT)模型构建二元检测算子,并利用观测数据估计出算子中代表背景的未知参数,而算子的关键参数——目标参数是通过投影追踪算法搜索异常点得到的。
2.For composite hypothesis testing,the generalized likelihood ratio test(GLRT) and the Bayesian approach are two widely used methods.在复合假设检验中,广义似然比检验(GLRT)和贝叶斯(Bayesian)方法是2个广泛应用的方法。
4)generalized likelihood ratio test (GLRT)广义似然比检验
1.Generalized likelihood ratio test (GLRT) is suitable for statistical data with many variables, low-expression, and non-linear characteristics.广义似然比检验(GLRT)具有对多变量、低表达、非线性数据分析灵敏的特点,其参数为-21g~λ,该参数近似的服从χ~2(1)分布,这样其误差就被有效的控制住;而支持向量机(SVM)能够较好的解决小样本、非线性、高维数、局部极值的问题,已在模式识别、非线性建模等领域得到广泛应用。
5)OPT(Optimal Parity-vector Test) method广义似然比检验法
6)generalized pseudo-likelihood ratio test广义拟似然比检验
1.A generalized pseudo-likelihood ratio test is introduced to test whether the interest rate models adequately fit interest rate s for certain periods of the economy.并用自助法对众多不同的模型进行了广义拟似然比检验。
延伸阅读
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。
