A Simple Density-Based Empirical Likelihood Ratio Test for Independence. [PDF]
Am Stat, 2014 Vexler A, Tsai WM, Hutson AD.
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Effect Size, Statistical Power and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis. [PDF]
Struct Equ Modeling, 2014 Dziak JJ, Lanza ST, Tan X.
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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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Rapid sample size calculations for a defined likelihood ratio test-based power in mixed-effects models. [PDF]
AAPS J, 2012 Vong C +3 more
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Empirical likelihood ratio test for median and mean residual lifetime. [PDF]
Stat Med, 2011 Zhou M, Jeong JH.
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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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Diagonal likelihood ratio test for equality of mean vectors in high‐dimensional data [PDF]
Biometrics, 2017 We propose a likelihood ratio test framework for testing normal mean vectors in high‐dimensional data under two common scenarios: the one‐sample test and the two‐sample test with equal covariance matrices.
Zongliang Hu, T. Tong, M. Genton
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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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