在广义帕累托分布模型中，门限值过小，极限定理不成立，得到的估计是有偏的；
In GPD model, a too low threshold will get biased estimates because the limit theorem does not apply.
本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。在第一节中，我们介绍了广义谱密度检验。
This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.
为了进一步从通过相关检测门限的像素中检测出目标，又提出了一种新的广义似然比检测方法。
In order to further the targets detection in these few pixels, an improved GLRT method is developed.
为了进一步从通过相关检测门限的像素中检测出目标，又提出了一种新的广义似然比检测方法。
In order to further the targets detection in these few pixels, an improved GLRT method is developed.
应用推荐