The invention discloses a GLRT (General Likelihood Ratio Test) detection method based on oversampling, which is proposed for the problem that the signal correlation cannot be utilized and large quantities of signal samples cannot be accumulated in a short time in the current GLRT detection ...
Generalized likelihood ratio testmaximum likelihood estimationprobability-generating functionsimulationYule distributionA wide class of Yule distribution is introduced here as a generalization of the extended Yule distribution of Martinez-Rodr铆guez et al. and the generalized Yule distribution of Mishra and ...
We show that asymptotically the x2 boundaries as well as the corresponding nominal significance levels calculated by Jennison & Turnbull can be applied to interim analyses based on the score test, the Wald test, and the likelihood ratio test for general parametric models. Based on the results ...
8.4.5 Likelihood Ratio Tests 8.4.6 Solved Problems 8.5 Linear Regression 8.6 Problems 9 Statistical Inference II: Bayesian Inference 10 Introduction to Random Processes 11 Some Important Random Processes 12 Introduction to Simulation Using MATLAB 13 Introduction to Simulation Using R 14 Introd...
aThe likelihood ratio test is based upon the difference 可能比检法根据区别[translate] aResides 居住[translate] aEvery day I will see you smile, laugh from the heart. 每天我将看见您微笑,从心脏笑。[translate] athe likelihood under the null and under the alternative hypotheses. Under general 可能...
In the case of more complicated designs - without ties in the survival times - the approach was only marginally less powerful than tests from proportional hazards models, and clearly less powerful than a likelihood ratio test for a fully parametric model; however, with ties in the survival time...
The likelihood ratio test also supports the superiority of the reciprocal effects model (see Fig. 1) (top-down vs. reciprocal: ΔSB-χ2 = 47.72, Δdf = 2, p < .05; bottom-up vs. reciprocal: ΔSB-χ2 = 25.44, Δdf = 2, p < .05). Table 3 Model-...
adaptive systemscensoring sensor networksdecentralized detectiondecision strategies randomizationdistribution uncertaintygeneralized likelihood ratio testsIn the censoring ... S Appadwedula,VV Veeravalli,DL Jones - 《IEEE Transactions on Signal Processing》 被引量: 267发表: 2008年 Decentralized Detection With ...
The likelihood ratio test showed a better fit using penalized smoothing splines for all three continuous variables. We therefore modelled them using penalized smoothing splines. We tested the possibility of collider bias due to behavioural risk factors by assessing the change in the coefficient \(\...
This test characteristic is called likelihood ratio. Because we present a likelihood ratio associated with a range of scores of a screener, we call it a stratum-specific likelihood ratio (SSLR). K6: SSLR (95% CI) 0: 0.09 (0.06 to 0.13) 1–2: 0.23 (0.18 to 0.28) 3–5: 1.0 (0.84 ...