Results 11 to 20 of about 1,574,107 (185)
rSeqDiff: detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test. [PDF]
PLoS ONE, 2013 High-throughput sequencing of transcriptomes (RNA-Seq) has recently become a powerful tool for the study of gene expression. We present rSeqDiff, an efficient algorithm for the detection of differential expression and differential splicing of genes from ...
Yang Shi, Hui Jiang
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Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients. [PDF]
PLoS ONE, 2014 This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals. The method is based on a M-ary generalized likelihood ratio test (LRT) defined over a multiple observation window in the Fourier domain. The motivations
Juan Manuel Górriz +6 more
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Likelihood Ratio Test and Non-parametric Test for Load Sharing
Austrian Journal of Statistics, 2021 In present article, we propose a likelihood ratio test and a non-parametric test for testing the load sharing effect observed in the two component parallel load sharing system.
Santosh Shashikant Sutar
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New Forms of Likelihood Ratio Test for SAR Change Detection
IEEE Access, 2021 The Neyman-Pearson lemma, i.e., the likelihood ratio test and its generalized version, have been used for the development of the synthetic aperture radar (SAR) change detection methods.
Viet T. Vu +2 more
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Gaussian universal likelihood ratio testing
Biometrika, 2022 Summary The classical likelihood ratio test based on the asymptotic chi-squared distribution of the log-likelihood is one of the fundamental tools of statistical inference. A recent universal likelihood ratio test approach based on sample splitting provides valid hypothesis tests and confidence sets in any setting for which we can ...
Robin Dunn +3 more
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How to use χ2 test correctly——the likelihood ratio test and the implementation of SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the likelihood ratio test and the SAS implementation. Specifically， three definitions of the likelihood ratio test statistics and six more commonly used likelihood ratio test statistics were introduced.
Hu Chunyan, Hu Liangping
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Diagnostic tests 4: likelihood ratios [PDF]
BMJ, 2004 The properties of a diagnostic or screening test are often described using sensitivity and specificity or predictive values, as described in previous Notes.1 2 Likelihood ratios are alternative statistics for summarising diagnostic accuracy, which have several particularly powerful properties that make them more useful clinically than other statistics ...
Deeks, J, Altman, D
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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
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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
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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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