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1·Their positive result likelihood ratio(PRLR) was analysed.

并对其阳性结果似然比（PRLR）进行分析。

2·In this paper, We present an edge detection algorithm using generalized likelihood ratio.

本文提出了一种利用广义似然比检测图象边缘的算法。

3·ANOVA, regression method and likelihood ratio test can be applied in single-marker mapping.

单一标记分析法可以采用方差分析、回归分析或似然比检验的方法分析。

4·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·When choosing zero-inflation count data models, if the models were nested, using likelihood ratio test;

选择零膨胀计数数据拟合模型时，若模型间是嵌套关系，需要采用似然比检验；

6·This algorithm can achieve the best demodulation because the likelihood ratio of information is used adequately.

由于该算法充分利用了软译码得到的似然比信息，因此可以实现最优信号检测。

7·The likelihood ratio criterion of sphericity test, its asymptotic expansion and limiting distribution are obtained.

论文得到了球形检验的似然比准则，它的渐近展开与极限分布。

8·Generalized maximum likelihood ratio detection algorithm (GLR) is a typical method of space-time adaptive signal processing.

狭义最大似然比检测算法(GLR)非空时自逆当信号处放的比拟典型的算法。

9·The limit distributions of estimators and likelihood ratio test are given, the strong consistency of estimators is also proved.

证明估计的强相合性和渐近正态性，给出似然比检验统计量的极限分布，并讨论基于精确分布的检验问题。

10·The traditional signal detection theory and method using likelihood ratio test has been used widely, but it has obvious drawbacks.

传统信号检测理论和方法主要采用似然比检测，已得到广泛的应用，但是存在明显的缺点。