Results 31 to 40 of about 2,552,257 (360)
Likelihood Ratio Testing under Measurement Errors [PDF]
Entropy, 2018 We consider the likelihood ratio test of a simple null hypothesis (with density f 0 ) against a simple alternative hypothesis (with density g 0 ) in the situation that observations X i are mismeasured due to the presence of measurement errors.
Broniatowski, Michel +2 more
openaire +5 more sources
Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test
IEEE Access, 2023 In current days, sensor nodes are deployed in hostile environments for various military and commercial applications. Sensor nodes are becoming faulty and having adverse effects in the network if they are not diagnosed and inform the fault status to other
Bhabani Sankar Gouda +7 more
doaj +1 more source
Target Maneuver Detection Method Based on Likelihood Ratio Test [PDF]
Hangkong bingqiAiming at the target maneuver detection in antagonistic process, a detection method is proposed based on likelihood ratio test. Based on the target real time observation data, the target detection problem is translated into the problem of time series ...
Shao Lei, He Yangchao, Zhao Jin
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A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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The Laplace Likelihood Ratio Test for Heteroscedasticity
International Journal of Mathematics and Mathematical Sciences, 2011 It is shown that the likelihood ratio test for heteroscedasticity, assuming the Laplace distribution, gives good results for Gaussian and fat-tailed data.
J. Martin van Zyl
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Likelihood Ratio Approach and Clinical Interpretation of Laboratory Tests
Frontiers in Immunology, 2021 Laboratory tests are an important component in the diagnostic process. From an analytical point of view, most tests have reached high technical standards resulting in quantitative results with very high precision and accuracy.
Walter Fierz, X. Bossuyt
semanticscholar +1 more source
Effective ellipse detector with polygonal curve and likelihood ratio test
IET Computer Vision, 2015 A robust ellipse detector is proposed. The detector preprocesses the edge map by removing all the isolated points and conjunction points, and exploits polygonal curve to extract the elliptical arcs.
Tingting Lu +3 more
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The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions [PDF]
Investigaciones Regionales - Journal of Regional Research, 2011 The Spatial Durbin model occupies an interesting position in SpatialEconometrics. It is the reduced form of a model with cross-sectional dependencein the errors and it may be used as the nesting equation in a more general approachof model selection ...
Ana M. Angulo, Jesús Mur
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Generalized Correlation Coefficient Based on Log Likelihood Ratio Test Statistic
MATEC Web of Conferences, 2016 In this paper, I point out that both Joe’s and Ding’s strength statistics can only be used for testing the pair-wise independence, and I propose a novel G-square based strength statistic, called Liu’s generalized correlation coefficient, it can be used ...
Liu Hsiang-Chuan
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Likelihood Ratio Test for the Hyper-Block Matrix Sphericity Covariance Structure
Revstat Statistical Journal, 2018 In this paper the authors introduce the hyper-block matrix sphericity test which is a generalization of both the block-matrix and the block-scalar sphericity tests and as such also of the common sphericity test. This test is a tool of crucial importance
Bárbara R. Correia +2 more
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